Lead GCP Engineer
About The Position
Capgemini is seeking a Lead GCP Engineer to design, develop, and support scalable data pipelines and data platforms on Google Cloud Platform. The role leads implementation of batch and streaming data solutions, drives cloud modernization and migration initiatives, and optimizes data-processing performance, reliability, and cost. The engineer collaborates with architects, business stakeholders, and cross-functional teams while providing technical leadership to onshore and offshore engineering teams. The position is listed for Dallas, Texas, or Charlotte, with an onsite/hybrid work arrangement. The posted base compensation range is $110,000–$120,000. The role may also be eligible for variable incentives, bonuses, or commissions. Capgemini describes a comprehensive benefits package for regular, full-time employees, with benefits subject to local policy and eligibility.
Requirements
- 10 years of experience in IT, including a minimum of 5 years in Data Engineering and 2 years in GCP.
- Strong hands-on experience with Python, SQL, Spark, PySpark, and UNIX/Linux.
- Expertise in GCP data services, including BigQuery, Composer, Airflow, GCS, Dataproc, and Dataflow.
- Experience building batch and real-time data pipelines using Kafka.
- Good understanding of data warehousing, data lakes, and big data platforms.
- Experience working with Oracle Exadata and on-premises big data ecosystems.
- Hands-on experience with workflow orchestration tools such as Airflow, Composer, and Autosys.
- Strong knowledge of GitHub, GitHub Actions, Harness, and CI/CD practices.
- Experience deploying and managing workloads on the OpenShift Container Platform (OCP).
- Strong understanding of event-driven architecture (EDA), streaming platforms, data governance, and data quality practices.
- Ability to lead technical design discussions, perform code reviews, and mentor engineering teams.
- Experience leveraging AI build tools and building Agentic AI-based solutions, utilities, or accelerators.
Nice To Haves
- Google Cloud Professional Data Engineer Certification.
- Experience in banking or financial services domains.
Responsibilities
- Design, develop, and support scalable data pipelines and data platforms on GCP.
- Lead the implementation of batch and streaming data solutions.
- Drive cloud modernization and migration initiatives.
- Optimize data-processing performance, reliability, and cost.
- Collaborate with architects, business stakeholders, and cross-functional teams.
- Provide technical leadership to onshore and offshore engineering teams.
- Lead technical design discussions, conduct code reviews, and mentor engineering teams.
Benefits
- Paid time off, including 12–25 vacation days depending on employee grade, company-paid holidays, personal days, and sick leave.
- Medical, dental, and vision coverage.
- Retirement savings plans, such as a 401(k) in the U.S.
- Life and disability insurance.
- Employee assistance programs.
- Other benefits as provided by local policy and eligibility.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
