Azure Databricks Lead

Location
- Charlotte, NC / Jersey City, NJ
- Onsite Hybrid

We are looking for an experienced Azure Databricks Engineer with strong expertise in cloud based data engineering ETL development and distributed data processing. The ideal candidate should have solid hands on experience with PySpark, Delta Lake, Azure Data Factory and building scalable data pipelines on Azure.

The engineer will work closely with business Data Architects and cross functional teams to design, develop and optimize data pipelines for enterprise grade analytics and reporting.

• Data Engineering Pipeline Development:
  Design, develop and optimize ETL/ELT pipelines using Azure Databricks PySpark.
• Build scalable data ingestion workflows from various structured and unstructured sources.
• Implement transformation logic, data cleansing, enrichment and validation frameworks. Work with Delta Lake to build medallion architecture Bronze, Silver, Gold layers.
• Develop reusable Databricks notebooks and jobs for production data workflows and Azure cloud integration.
• Build and orchestrate pipelines using Azure Data Factory (ADF).
• Integrate Databricks with other Azure services: ADLS, Azure SQL, Event Hub, Key Vault, Synapse.
• Implement Dev Ops processes using Git, CI/CD, Azure Dev Ops. Optimize PySpark jobs for performance and cost efficiency.
• Implement best practices for data governance, security and access control.
• Troubleshoot production issues and perform root cause analysis.
• Conduct code reviews ensuring coding standards and data quality, documentation, and collaboration.
• Work with Data Architects to define architecture and design patterns.
• Prepare technical documents, solution diagrams and runbooks.
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions.

Base compensation range for this role in the posted location is: 103,.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range 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.

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):
  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.

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program. 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.