Cloud Engineer opportunity in New York

Capgemini • New York, NY

9d • $86,129 - $127,189 • Hybrid

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.

Requirements

• 5+ years of Cloud engineering experience
• Production Databricks work: Delta Lake, Unity Catalog, Lakeflow/DLT pipelines, structured streaming, and SQL warehouses
• Expert-level SQL
• Strong Python for transformation logic and data-quality automation
• Hands-on experience with at least one clean room technology, with a real understanding of aggregate versus row-level constraints
• Deep understanding of identity resolution: deterministic matching, probabilistic graph construction, household-level aggregation, and device graph assembly
• Strong PII governance knowledge in financial services: data residency, consent frameworks, GLBA, Fair Lending, and UDAAP
• CI/CD and infrastructure-as-code experience for data platforms
• Ability to operate in client-facing consulting delivery contexts - translating business requirements into technical specifications

Nice To Haves

• Experience supporting Databricks on Google Cloud

Responsibilities

• 5+ years of Cloud engineering experience, including production Databricks work: Delta Lake, Unity Catalog, Lakeflow/DLT pipelines, structured streaming, and SQL warehouses
• Working GCP fluency - BigQuery, Cloud Storage, Cloud Run, IAM (Nice to have experience supporting Databricks on Google Cloud)
• Expert-level SQL and strong Python for transformation logic and data-quality automation
• Hands-on experience with at least one clean room technology, with a real understanding of aggregate versus row-level constraints
• Deep understanding of identity resolution: deterministic matching, probabilistic graph construction, household-level aggregation, and device graph assembly
• Strong PII governance knowledge in financial services: data residency, consent frameworks, GLBA, Fair Lending, and UDAAP
• CI/CD and infrastructure-as-code experience for data platforms
• Ability to operate in client-facing consulting delivery contexts - translating business requirements into technical specifications

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: Senior
• Education Level: No Education Listed