Azure Cloud Architect

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Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

• Contribute to the design and implementation of scalable data architectures, such as a Lakehouse, using Delta Lake and Unity Catalog.
• Manage and maintain the underlying data infrastructure, which typically exists on a major cloud platform like AWS, Azure, or GCP.
• Implement data governance practices, including data lineage, metadata management, and access controls integrating with other 3rd party products like Immuta, Protegrity for tokenization etc.
• Adhere to software engineering best practices, including participating in code reviews and CI/CD (Continuous Integration/Continuous Deployment) automation.
• Stay up to date with the latest trends and technologies in data engineering and the Databricks ecosystem.
• Design and build robust ETL (Extract, Transform, Load) and ELT workflows to ingest, transform, and load structured and unstructured data from various sources.
• Utilize Databricks features like Delta Live Tables and Databricks Workflows to orchestrate and manage complex data processes.
• Optimize and tune Apache Spark jobs for performance and cost efficiency on large datasets.
• Implement and enforce data security, access control, and compliance policies in Databricks and Azure.
• Hands on experience working on streaming technologies (Kafka, Event Hubs, Kinesis).
• Experience architecting machine learning platforms, advanced analytics workloads and develop and deployment of MLOPS on Databricks.
• Expertise with enterprise security models, networking, and cost governance.
• Should have experience working with Dev Ops teams to establish deployment practices using Terraform or similar.
• Optimize Databricks performance (auto-scaling, caching, delta optimization, job tuning, cost optimization).
• Prior experience in leading enterprise Azure Databricks implementations.

The base compensation range for this role in the posted location is: USD 135k to 145k.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

• Paid time off based on employee grade (A-F), defined by policy:
  Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

• Seniority level:
  Mid-Senior level
• Employment type:
  
  Full-time
• Job function:
  Engineering and Information Technology
• Industries: IT Services and IT Consulting