Full Job Description
Job Description
Data Architects drive change that creates business opportunity through data driven insights. Architects shape and translate Business strategy to data products and needs into realisable, sustainable technology solutions. Architects take end-to-end solution delivery ownership from idea to benefits delivery.
Location
Anywhere in the USA but preferred in Atlanta GA , Nashville TN and Dallas TX
About the job you're considering
We are seeking a Senior Staff Data Engineer - API with strong Google Cloud Platform (GCP) experience to design, build, and support scalable enterprise data platforms. This role is hands-on and highly collaborative, requiring strong problem-solving skills and the ability to work in fast-paced, matrixed environments.
Your role
Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform.
Develop automated workflows and data platforms that support 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.
Your skills and experience Required
10+ years of IT experience with 5+ years in Data Architecture.
Minimum 2+ years of hands-on experience with Google Cloud Platform.
2+ years of API development experience
Strong experience with:
BigQuery, Cloud Run, GKE, Cloud Functions
Python (FastAPI), Java, or Scala
Apigee, Kafka, Spark Streaming
SQL, CI/CD, Git/GitHub
Solid understanding of Agile methodologies
Strong problem-solving, communication, and collaboration skills
Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs.
Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures.
Experience with CI/CD, Git/GitHub, and Agile methodologies.
Strong communication skills and ability to mentor junior engineers.
Preferred
Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI.
Google Cloud Professional Data Engineer Certification.
Bachelor's degree in computer science or related field (Master's preferred).
#LI-SD1
The base compensation range for this role in the posted location is $101,140 to $182,620
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
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
