Lead Data Engineer

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: Smithfield, RI (Day One Onsite - Hybrid)

About The Role

We are seeking a Lead Data Engineer to provide technical leadership for enterprise data modernization initiatives. The ideal candidate will define migration strategies, guide engineering teams, and drive the transformation of legacy ETL ecosystems into scalable modern data platforms.

Responsibilities

• Lead end-to-end modernization and migration of enterprise data workflows.
• Define technical architecture and migration strategies for Informatica-to-Python ETL transformations.
• Drive the design and implementation of scalable data processing solutions using Python, SQL, and Java Spring Batch.
• Evaluate and implement AI-powered accelerators, Generative AI capabilities, and Copilot-based productivity improvements.
• Provide technical leadership across data engineering, integration, and modernization workstreams.
• Conduct architecture reviews, solution assessments, and optimization initiatives.
• Collaborate with business stakeholders, architects, and technology leadership to align solutions with business objectives.
• Mentor engineering teams and establish development standards and best practices.

Requirements

• 10+ years of experience in Data Engineering and data modernization.
• Deep expertise in Informatica, Python ETL, and SQL.
• Strong experience with Java Spring Batch and enterprise batch processing.
• Expertise in AWS cloud technologies and modern data architectures.
• Experience leading large-scale ETL migration and transformation programs.
• Strong understanding of Generative AI, GitHub Copilot, and AI-assisted engineering approaches.
• Exceptional leadership, communication, and stakeholder management skills.

Preferred Skills

• Financial Services industry experience.
• Experience defining enterprise data modernization roadmaps and engineering standards.

Benefits

For eligible employees, we offer:

• Flexible work
• 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

Pay

The base compensation range for this role in Smithfield, RI is $103,330 to $128,656 per year. This role may also be eligible for other compensation including variable compensation, bonus, or commission. Full-time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and other benefits.