Google Cloud Data Architect 1
About The Position
Capgemini is seeking a hands-on, collaborative data engineering and architecture professional to design, build, and support scalable enterprise data platforms using Google Cloud Platform (GCP). The role focuses on turning business strategy and data needs into sustainable technology solutions, with ownership spanning solution delivery from idea through benefits realization. The position is open anywhere in the United States, with Atlanta, Nashville, and Dallas preferred locations. The role involves creating scalable data pipelines, APIs, automated workflows, and platforms supporting analytics, reporting, and AI/ML use cases. The successful candidate will work with data engineers, architects, data scientists, and business stakeholders in a fast-paced, matrixed environment, and will contribute reusable code, engineering best practices, mentoring, testing, deployment, monitoring, and production support.
Requirements
- 10+ years of IT experience, including 5+ years in Data Architecture.
- At least 2 years of hands-on Google Cloud Platform experience.
- At least 2 years of API development experience.
- Strong experience with BigQuery, Cloud Run, GKE, and Cloud Functions.
- Experience with Python (FastAPI), Java, or Scala.
- Experience with Apigee, Kafka, and Spark Streaming.
- Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures.
- Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs.
- Experience with CI/CD, Git/GitHub, and Agile methodologies.
- Strong problem-solving, communication, and collaboration skills.
- Ability to mentor junior engineers.
Nice To Haves
- Experience with Apigee, Python (FastAPI), Spark, Kafka, and Vertex AI.
- Google Cloud Professional Data Engineer Certification.
- Bachelor’s degree in computer science or a related field; a master’s degree is preferred.
Responsibilities
- Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform.
- Develop automated workflows and data platforms for analytics, reporting, and AI/ML use cases.
- Implement best practices for data security, governance, CI/CD, and automated deployment.
- Collaborate with data engineers, architects, data scientists, and business stakeholders.
- Produce high-quality, reusable code and mentor team members on best practices.
- Support testing, deployment, monitoring, and production troubleshooting.
- Take end-to-end solution delivery ownership from idea through benefits delivery.
Benefits
- Paid time off, including vacation (12–25 days depending on employee grade), company-paid holidays, personal days, and sick leave.
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
- Retirement savings plans, such as a 401(k) in the U.S. or 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
Senior
Education Level
No Education Listed
