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.

Key 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 work streams.

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.

Required Skills
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, Git Hub 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 standard

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:

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 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.

Click the following link for more information on your rights as an Applicant  Transparency The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help…