Job Location: This is an hybrid role based in Atlanta GA, or New Jersey. About the job you're considering We are seeking an experienced Senior Databricks Data Engineer to design, build, and lead the implementation of modern data platform solutions. The ideal candidate will possess deep expertise in Databricks, PySpark, SQL, cloud platforms, and Delta Lake, along with a proven track record of leading engineering teams and delivering enterprise-scale data solutions. This role requires strong technical leadership, client-facing experience, and the ability to architect and deploy end-to-end data engineering solutions that drive business value.

Your role

• Design, develop, and deploy scalable, high-performance data engineering solutions using the Databricks Lakehouse Platform.
• Define and implement end-to-end data architectures, including Databricks Medallion Architecture (Bronze, Silver, Gold layers).
• Lead teams of data engineers and developers in the successful delivery of enterprise data modernization initiatives.
• Develop and optimize complex data pipelines using PySpark, Python, and SQL.
• Build and deploy Delta Lake solutions in production environments, ensuring data quality, reliability, and performance.
• Implement data sharing and collaboration solutions using Delta Sharing and Databricks Marketplace.
• Design and manage data governance frameworks utilizing Unity Catalog.Extract, transform, and integrate large volumes of structured and unstructured data from diverse data sources and platforms.
• Work closely with business stakeholders and senior clients to gather requirements, define solutions, and communicate technical recommendations.
• Leverage Databricks AI/BI, Genie, Apps, and Data Visualization capabilities to deliver business insights and self-service analytics.Develop and maintain orchestration workflows using tools such as Apache Airflow.
• Implement and support CI/CD pipelines and DevOps best practices for data engineering projects.
• Collaborate with cross-functional teams to ensure adherence to data architecture, governance, and security standards.
• Contribute to data modeling efforts, including conceptual, logical, and physical data models.

Skills and experience

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 6+ years of experience in Data Engineering.
• 4+ years of hands-on experience with Databricks, designing and delivering enterprise-scale data engineering solutions.
• Proven experience architecting and deploying end-to-end data platforms using Databricks Medallion Architecture.
• Expert-level proficiency in PySpark, Python, and SQL.
• Strong experience implementing and managing Delta Lake in production environments.
• Hands-on experience with at least two cloud platforms from:
  • Microsoft Azure
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)
• Strong understanding of database design, data engineering principles, and distributed data processing.
• Experience leading and mentoring teams of data engineers and developers.
• Demonstrated success managing and influencing senior client stakeholders.

The base compensation range for this role in the posted location is: $133,000 - $153,000.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• 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