Lead Data Engineer

Capgemini • Bridgewater, NJ

12d • $110,841 - $145,000 • Hybrid

About The Position

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.

Requirements

• Design, develop, and maintain scalable data pipelines and ETL/ELT frameworks.
• Architect and implement modern data platforms, data lakes, and cloud-based data warehouses.
• Build robust batch and real-time data processing solutions.
• Define and implement data modeling standards, including dimensional and semantic models.
• Ensure high availability, performance, scalability, and security of data infrastructure.
• Lead a team of data engineers by providing technical guidance, code reviews, and mentoring.
• Establish engineering standards, best practices, and development frameworks.
• Drive technical design discussions and architecture reviews.
• Translate business requirements into scalable and maintainable technical solutions.
• Collaborate with enterprise architects and solution teams to align data strategies with organizational goals.
• Implement data quality checks, validation frameworks, and monitoring mechanisms.
• Ensure adherence to data governance, privacy, security, and compliance standards.
• Develop metadata management, lineage, and cataloging solutions.
• Partner with governance and compliance teams to implement data stewardship practices.
• Design and manage cloud-native data solutions using Azure, AWS, or Google Cloud.
• Optimize performance and cost efficiency of data platforms.
• Automate deployment processes using Infrastructure as Code (IaC) and CI/CD pipelines.
• Monitor system health, troubleshoot issues, and improve platform reliability.
• Partner with business leaders, analytics teams, and product owners to prioritize data initiatives.
• Support data scientists and analysts with curated, trusted datasets.
• Present architecture recommendations and project updates to senior leadership.
• Drive cross-functional alignment on enterprise data strategy

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT frameworks.
• Architect and implement modern data platforms, data lakes, and cloud-based data warehouses.
• Build robust batch and real-time data processing solutions.
• Define and implement data modeling standards, including dimensional and semantic models.
• Ensure high availability, performance, scalability, and security of data infrastructure.
• Lead a team of data engineers by providing technical guidance, code reviews, and mentoring.
• Establish engineering standards, best practices, and development frameworks.
• Drive technical design discussions and architecture reviews.
• Translate business requirements into scalable and maintainable technical solutions.
• Collaborate with enterprise architects and solution teams to align data strategies with organizational goals.
• Implement data quality checks, validation frameworks, and monitoring mechanisms.
• Ensure adherence to data governance, privacy, security, and compliance standards.
• Develop metadata management, lineage, and cataloging solutions.
• Partner with governance and compliance teams to implement data stewardship practices.
• Design and manage cloud-native data solutions using Azure, AWS, or Google Cloud.
• Optimize performance and cost efficiency of data platforms.
• Automate deployment processes using Infrastructure as Code (IaC) and CI/CD pipelines.
• Monitor system health, troubleshoot issues, and improve platform reliability.
• Partner with business leaders, analytics teams, and product owners to prioritize data initiatives.
• Support data scientists and analysts with curated, trusted datasets.
• Present architecture recommendations and project updates to senior leadership.
• Drive cross-functional alignment on enterprise data strategy

Benefits

• 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
• Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed