About The Position

Capgemini is seeking a Senior Databricks Engineer with a strong ability to independently design, build, and deploy end-to-end data architectures, including implementation of the Databricks Medallion Architecture. The ideal candidate will provide technical leadership, guide architectural decisions, and mentor junior data engineers and developers within a hybrid offshore/onshore delivery model. Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes.

Responsibilities

  • design, build, and deploy end-to-end data architectures
  • implementation of the Databricks Medallion Architecture
  • provide technical leadership
  • guide architectural decisions
  • mentor junior data engineers and developers within a hybrid offshore/onshore delivery model
  • building reliable and scalable data infrastructure
  • help organizations enhance data processes
  • leverage data effectively to drive business outcomes

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

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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

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