27 Cloud Data Engineer jobs in Australia
Data Platform Solution Engineer - Cloud & AI Data Platform - Melbourne

Posted 23 days ago
Job Viewed
Job Description
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
As an Innovative Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements, hackathons, code-with sessions, and architecture workshops to accelerate adoption of Microsoft's developer tools and cloud platforms.
+ Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Represent Microsoft through thought leadership in developer communities and customer forums
**Qualifications**
**Minimum Experience**
+ Experience in technical sales, pre-sales engineering, or solution architecture roles.
+ Demonstrated ability to deliver technical demos, proofs of concept, or prototypes to influence customer decisions.
+ Direct experience leading customer engagements such as architecture workshops, hackathons, or code-with sessions.
+ Understanding of cloud-native solution design, security, and scalability principles.
+ Experience working closely with developers and technical stakeholders to co-design and implement solutions.
+ Technical troubleshooting experience with the ability to identify and resolve customer blockers.
**Preferred Experience**
+ Technical expertise in the Microsoft Analytics portfolio including Microsoft Fabric (OneLake, Data
+ Warehouse, Real-time Intelligence, BI, Copilot), Azure Databricks, and Purview Data Governance.
+ Experience with Azure database services such as Azure SQL Database, Cosmos DB, and PostgreSQL.
+ Familiarity with developer tools and modern application development practices.
+ Experience contributing to or speaking at developer forums, tech meetups, or community events as a thought leader.
+ Experience collaborating with engineering and product teams to share customer feedback and drive product improvements.
+ Experience in designing and scaling cloud-based analytics or data governance solutions.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Data Platform Solution Engineer - Cloud & AI Data Platform - Melbourne

Posted 23 days ago
Job Viewed
Job Description
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
As an Innovative Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements, hackathons, code-with sessions, and architecture workshops to accelerate adoption of Microsoft's developer tools and cloud platforms.
+ Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Represent Microsoft through thought leadership in developer communities and customer forums
**Qualifications**
**Minimum Experience**
+ Experience in technical sales, pre-sales engineering, or solution architecture roles.
+ Demonstrated ability to deliver technical demos, proofs of concept, or prototypes to influence customer decisions.
+ Direct experience leading customer engagements such as architecture workshops, hackathons, or code-with sessions.
+ Understanding of cloud-native solution design, security, and scalability principles.
+ Experience working closely with developers and technical stakeholders to co-design and implement solutions.
+ Technical troubleshooting experience with the ability to identify and resolve customer blockers.
**Preferred Experience**
+ Technical expertise in the Microsoft Analytics portfolio including Microsoft Fabric (OneLake, Data
+ Warehouse, Real-time Intelligence, BI, Copilot), Azure Databricks, and Purview Data Governance.
+ Experience with Azure database services such as Azure SQL Database, Cosmos DB, and PostgreSQL.
+ Familiarity with developer tools and modern application development practices.
+ Experience contributing to or speaking at developer forums, tech meetups, or community events as a thought leader.
+ Experience collaborating with engineering and product teams to share customer feedback and drive product improvements.
+ Experience in designing and scaling cloud-based analytics or data governance solutions.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Cloud & AI Solution Engineer - Data Platform
Posted 5 days ago
Job Viewed
Job Description
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
+ 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Cloud & AI Solution Engineer - Data Platform

Posted 23 days ago
Job Viewed
Job Description
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
+ 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
#MCAPS_FY26H1-SE-Data
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Cloud & AI Solution Engineer - Data Platform

Posted 23 days ago
Job Viewed
Job Description
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
+ 5+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience OR equivalent experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Cloud & AI Solution Engineer, Data Platform - Perth
Posted 1 day ago
Job Viewed
Job Description
Databases & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products including IaaS and PaaS services on the Azure Platform in the age of AI. These technologies empower customers to build, deploy, and manage database and analytics applications in a cloud-native way.
As a Data Platform Solution Engineer (SE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft's cloud database and analytics stack across every stage of deployment. You'll collaborate closely with engineering leaders and platform teams to accelerate the Fabric Data Platform, including Azure Databases and Analytics, through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment. You'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform, all while enjoying flexible work opportunities.
As a trusted technical advisor, you'll guide customers through secure, scalable solution design, influence technical decisions, and accelerate database and analytics migration into their deployment workflows. In summary, you'll help customers modernize their data platform and realize the full value of Microsoft's platform.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
+ Lead hands-on engagements-hackathons and architecture workshops-to accelerate adoption of Microsoft's cloud platforms.
+ Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
+ Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
+ Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
+ Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
+ Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums
**Qualifications**
**Required Experience**
+ 5+ years technical pre-sales or technical consulting experience OR Tertiary qualification in Computer Science, Information Technology, or related field or technical pre-sales or technical consulting experience
+ Expert on Azure Databases (SQL DB, Cosmos DB, PostgreSQL) from migration & modernize and creating new AI apps.
+ Expert on Azure Analytics (Fabric, Azure Databricks, Purview) and competitors (BigQuery, Redshift, Snowflake) in data warehouse, data lake, big data, analytics, real-time intelligent, and reporting using integrated Data Security & Governance.
+ Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Solutions Engineer - Cloud and Data Centre Infrastructure

Posted 23 days ago
Job Viewed
Job Description
Apply ( Location:North Sydney, Australia
+ Area of InterestSales - Services, Solutions, Customer Success
+ Job TypeProfessional
+ Technology InterestCloud and Data Center
+ Job Id1444961
Location: Must be based in or within a commutable distance to Sydney
Work Authorisation for Australia: Must be authorised to work in Australia without requiring sponsorship now or in the future
**Meet the Team**
The Cloud + AI Infrastructure team delivers one scalable strategy with local execution for data centre customer transformation and growth. We are the worldwide go-to-market compute and data centre networking engine gathering market transitions and allowing sellers to expand growth for customers and Cisco. Alongside our colleagues, Cloud & AI Infrastructure builds the sales strategy, activates sellers and technical communities, and accelerates selling.
**Your Impact**
Want to work in a dynamic, fast-growing team and be engaged in Cisco's AI-Ready Data Centre opportunities?
We are seeking a Solutions Engineer to join the newly formed ANZ Compute and Artificial Intelligence Infrastructure (CAI) team. In this role you will be responsible for developing technical relationships with our NSW Enterprise customers; your ultimate aim: to become a trusted advisor who not only consults on technical design and architectures but influences technology transformation decisions and direction.
As a Cloud and AI Infrastructure Solutions Engineer, you will work closely with various account teams to discover, define, develop and design Compute and AI Infrastructure solutions to meet customer's business needs. You will help them position data center virtualization and systems architecture solutions effectively against competing offerings. You will be passionate about presales engineering activities, demonstrating solutions and architectures in Cloud and AI infrastructure. As a bonus, you will work with outstanding people in product development and collaborate with peers to teach and enable the greater ANZ presales organisation. You will need to travel as needed to meet with clients and attend industry events.
**Minimum Qualifications:**
+ 6+ years of technical presales experience selling Compute, Storage and Data Centre Switching.
+ Deep understanding of Data Centre network and Compute architectural designs.
+ Deep knowledge of Data Centre enterprise applications, virtualisation technologies and operational toolsets.
+ Excellent presentation skills - ability to deliver engaging workshops to both technical and non-technical audiences.
**Preferred Qualifications:**
+ Bachelor degree in Computer Science, Computer Engineering, Electrical Engineering, or related field or equivalent experience; advanced degree is a plus.
+ Cisco Certifications (CCNA, CCNP or CCIE)
+ Knowledge of Cisco Nexus, ACI and UCS solutions.
+ Understanding of AI architectures and infrastructure products.
+ Experience designing Converged infrastructure and Hyper-Converged Infrastructure (HCI) solutions.
+ Proficiency with automation tool sets (Ansible, Terraform) with a strong focus on DC switching and compute.
+ Foundational software development skills e.g. Python
+ Demonstrates proactive leadership with a team-oriented attitude.
+ Self-starter who can lead opportunities without close supervision
+ Hold a continuous learning philosophy, able to navigate ambiguity and complex customer challenges.
+ Cultivates relationships within multiple layers of an organisation and promotes an "I can" attitude.
+ Creative problem solver who enjoys asking "imagine if." questions and is willing to take calculated risks.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
**Why Cisco?**
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Simply put - we power the future.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with
empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
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Enterprise Computing Cloud Hybrid Specialist - Contract - Canberra
Posted 558 days ago
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Data Engineer Consultant

Posted 18 days ago
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Job Description
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The Data Engineer (Consultant) is a seasoned subject matter expert, responsible for the transformation of data into a structured format that can be easily analyzed in a query or report.
This role is responsible for developing structured data sets that can be reused or complimented by other data sets and reports.
This role analyzes the data sources and data structure and designs and develops data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities.
**Key responsibilities:**
+ Creates data models in a structured data format to enable analysis thereof.
+ Designs and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources,
+ Participates in the transformation of object and data models into appropriate database schemas within design constraints.
+ Interprets installation standards to meet project needs and produce database components as required.
+ Creates test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations.
+ Accountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems.
+ Works across multiple IT and business teams to define and implement data table structures and data models based on requirements.
+ Accountable for analysis, and development of ETL and migration documentation.
+ Collaborates with various stakeholders to evaluate potential data requirements.
+ Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives.
+ Collaborates with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models.
**To thrive in this role, you need to have:**
+ The skills we require are:- ETL Design and Development (Azure / Fabric Data Factory, Databricks, Snowflake)- Cloud and On-Prem Data Engineering / Warehousing (Azure SQL, Snowflake, Databrick, SSMS/SSIS)- Programming languages (SQL, Python)- Version Control (Azure Dev Ops, GIT)- Data Visualisation (Power BI)- Data Analysis and Mapping
+ Seasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities.
+ Seasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models.
+ Seasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server.
+ Seasoned understanding of data architecture landscape between physical and logical data models
+ Analytical mindset with excellent business acumen skills.
+ Problem-solving aptitude with the ability to communicate effectively, both written and verbal.
+ Ability to build effective relationships at all levels within the organization.
+ Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.).
**Academic qualifications and certifications:**
+ Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field.
+ Relevant certifications preferred.
+ Certified Data Engineer, Certified Professional certification preferred.
**Required experience:**
+ Minimum 5 years of experience as Data Engineer (Consultant).
+ Seasoned experience as a data engineering, data mining within a fast-paced environment.
+ Proficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.
+ Seasoned experience with architecture and design of secure, highly available and scalable systems.
+ Seasoned proficiency in automation, scripting and proven examples of successful implementation.
+ Seasoned proficiency using scripting language (Perl, bash, Shell Scripting, Python, etc.).
+ Seasoned proficiency in working with SQL, MySQL databases and Microsoft SQL.
**Workplace type** **:**
Hybrid Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
Lead Data Engineer/Data Management Lead
Posted 10 days ago
Job Viewed
Job Description
We are looking for a highly skilled and experienced Lead Data Engineer with over 15 years of expertise in data engineering, architecture, and enterprise data management. The successful candidate will have hands-on experience with AWS Redshift, AWS DMS, AWS S3, Databricks, Fivetran, DBT & ETL tools(like Informatica/SSIS) along with knowledge of Guidewire ClaimCenter and PolicyCenter for insurance domain data integration. This role will be responsible for designing and implementing scalable data platforms, managing complex data pipelines, and ensuring adherence to best practices in data quality, governance, and security. The position requires strong leadership capabilities to guide a team and deliver high-performance, cost-effective, and reliable data solutions.
**Position Summary:**
The Lead Data Engineer will lead the design, development, and optimization of large-scale data architectures and workflows across AWS and Databricks environments. This role will involve integrating data from enterprise insurance systems (Guidewire ClaimCenter and PolicyCenter) into centralized analytics platforms, driving automation, and implementing governance frameworks. The position demands a mix of technical expertise, architectural vision, and team leadership to deliver business-aligned, high-quality data solutions.
**Mandatory Skills:**
· Cloud & Data Platforms: AWS Redshift, AWS DMS, AWS S3, Databricks
· ETL/ELT & Integration Tools: Fivetran, DBT
· Insurance Platforms: Guidewire ClaimCenter, PolicyCenter
· Data Architecture & Modeling: Data warehouse & Lakehouse design, Dimensional Modeling, Performance Tuning
· Programming & Scripting: SQL, Python & Unix
· Automation & DevOps: Infrastructure as Code (Terraform/CloudFormation), CI/CD for data workflows ,Git, GitHub workflows, and CI/CD tools like Jenkins.
· NoSQL Databases : AWS DynamoDB, MongoDB, etc.
· Data Governance & Quality: Data security, lineage, compliance, and quality management
· Leadership: Proven track record in managing and mentoring data engineering teams
**Duties and Responsibilities:**
· Provide architectural expertise in defining and driving the right solution to meet the technical performnaces, scalability, flexibility, operations and capability needs.
· Lead and mentor a team of data engineers to deliver robust and scalable data solutions.
· Architect, design, and implement enterprise-scale data warehouse and lakehouse solutions on AWS and Databricks.
· Develop and maintain high-performance ETL/ELT pipelines using AWS DMS, Fivetran, and dbt.
· Integrate data from Guidewire ClaimCenter and Duck Creek PolicyCenter into centralized data platforms.
· Collaborate with business and technology stakeholders to gather requirements and deliver business-aligned data solutions.
· Implement and enforce data governance, security policies, and compliance frameworks.
· Optimize performance, cost, and scalability of AWS and Databricks environments.
· Monitor, troubleshoot, and maintain operational excellence for data systems.
· Stay up to date with emerging tools, frameworks, and best practices in data engineering.
· A data-driven mindset, ability to clearly communicate complex business problems and technical solutions.
· Ability to manage multiple priorities in a fast-paced environment.
**Salary Range:** >100,000
**Date of Posting: 13/August/2025**
**Next Steps:** If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us.
For a complete list of open opportunities with Cognizant, visit . Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.
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Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.