Hybrid Cloud Data Engineer: Databricks on GCP

Capgemini; New York (NY); Hybrid; USD 86,000 - 127,000; Full time

Benefits offered by this job

Paid time off (PTO)

Medical, dental, and vision coverage

Retirement savings plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini in New York is seeking a senior cloud engineer with 5+ years of cloud engineering experience and production Databricks work, including Delta Lake and pipelines. This hybrid role leverages GCP fluency and strong SQL/Python to deliver data platforms for major clients.

You will translate business requirements into technical specifications, work in a client-facing delivery context, and participate in CI/CD and infrastructure-as-code initiatives.

Qualifications

• 5+ years in cloud engineering with Databricks production work (Delta Lake, Unity Catalog, pipelines).
• GCP fluency: BigQuery, Cloud Storage, Cloud Run, IAM.
• Advanced SQL and Python for data transforms and data-quality automation.
• Hands-on with at least one clean room tech; understand aggregate vs row-level constraints.
• Deep identity resolution knowledge: deterministic matching and graph construction.
• PII governance in financial services: data residency, consent frameworks, GLBA, UDAAP.
• CI/CD and IaC for data platforms.
• Translate business requirements into technical specs in client-facing delivery.

Responsibilities

• Translate business requirements into technical specifications for data platforms.
• Collaborate with client teams to deliver cloud-based databricks and data engineering solutions.
• Support Databricks on Google Cloud and implement CI/CD pipelines for data apps.

Skills

Cloud engineering

Databricks

GCP

SQL

Python

CI/CD

Infrastructure as code

Data governance

Identity resolution

Client-facing

Tools

BigQuery

Cloud Storage

Cloud Run

IAM

Job description

Capgemini in New York is seeking a senior cloud engineer with 5+ years of cloud engineering experience and production Databricks work, including Delta Lake and pipelines. This hybrid role leverages GCP fluency and strong SQL/Python to deliver data platforms for major clients.

You will translate business requirements into technical specifications, work in a client-facing delivery context, and participate in CI/CD and infrastructure-as-code initiatives.