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Data Architect

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Capgemini
Full Time position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below

This range is provided by Capgemini. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

Direct message the job poster from Capgemini

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 Location: Atlanta, GA

Job Description
  • 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
Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief
Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

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

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