Azure Cloud Architect

Capgemini • New York, NY

4d

About The Position

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.Job DescriptionContribute 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 DevOps 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

Requirements

• 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 DevOps teams to establish deployment practices using Terraform or similar.
• Prior experience in leading enterprise Azure Databricks implementations

Responsibilities

• 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.
• Optimize Databricks performance (auto-scaling, caching, delta optimization, job tuning, cost optimization).

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees