Lead Data Engineer
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. Description and Location Design, develop, and optimize data engineering and ETL solutions, leveraging strong expertise in BI platforms such as MicroStrategy and Informatica.Lead cloud migration initiatives, enabling seamless transition of legacy and on-prem data systems to AWS/GCP cloud environments.Build and maintain high-performance dashboards, reporting systems, and data models to support enterprise analytics needs.Execute performance engineering, load testing, and troubleshooting to ensure scalable and efficient data platforms.Collaborate as a Technical Lead/Product Owner in Agile teams, driving architecture decisions, technical delivery, and quality improvements.Automate workflows, enhance system reliability, and ensure security compliance across data and cloud infrastructure. Job Description Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. Job Description - Grade Specific The role involves leading and managing a team of data engineers, defining and executing the data engineering strategy, and ensuring the effective delivery of data solutions. They provide technical expertise, drive innovation, and collaborate with stakeholders to deliver high quality, scalable, and reliable data infrastructure and solutions.
Requirements
- Strong expertise in BI platforms such as MicroStrategy and Informatica.
- Experience with AWS/GCP cloud environments.
- Experience in performance engineering, load testing, and troubleshooting.
- Experience in Agile teams.
- Experience in data and cloud infrastructure.
Responsibilities
- Design, develop, and optimize data engineering and ETL solutions, leveraging strong expertise in BI platforms such as MicroStrategy and Informatica.
- Lead cloud migration initiatives, enabling seamless transition of legacy and on-prem data systems to AWS/GCP cloud environments.
- Build and maintain high-performance dashboards, reporting systems, and data models to support enterprise analytics needs.
- Execute performance engineering, load testing, and troubleshooting to ensure scalable and efficient data platforms.
- Collaborate as a Technical Lead/Product Owner in Agile teams, driving architecture decisions, technical delivery, and quality improvements.
- Automate workflows, enhance system reliability, and ensure security compliance across data and cloud infrastructure.
- Leading and managing a team of data engineers, defining and executing the data engineering strategy, and ensuring the effective delivery of data solutions.
- Provide technical expertise, drive innovation, and collaborate with stakeholders to deliver high quality, scalable, and reliable data infrastructure and solutions.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
