GCP Data Architect - API & Analytics Platform

Capgemini; Atlanta (GA); On-site; USD 101,000 - 183,000; Full time

Job summary

Capgemini is seeking a Senior Staff Data Engineer – API with strong Google Cloud Platform (GCP) experience to design, build, and support scalable enterprise data platforms. This hands-on role requires collaboration across data engineers, architects, data scientists, and business stakeholders.

You will design data pipelines and APIs on GCP, implement secure CI/CD workflows, and mentor junior engineers while solving complex data challenges in a fast-paced environment.

Qualifications

• 10+ years IT experience with 5+ years in Data Architecture.
• 2+ years hands-on 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.
• Understanding of Agile methodologies.

Responsibilities

• Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform.
• Develop automated workflows and data platforms to 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.

Skills

Data Architecture

API development

GCP experience

BigQuery

Python

Java/Scala

CI/CD

Git/GitHub

Agile

SQL

Data Modeling

Education

Bachelor’s degree in CS

Tools

Apigee

Kafka

Spark Streaming

GKE

Cloud Run

Dataflow/Dataproc

Pub/Sub

Cloud Functions

Cloud Storage

BigQuery

Vertex AI

Job description

Capgemini is seeking a Senior Staff Data Engineer – API with strong Google Cloud Platform (GCP) experience to design, build, and support scalable enterprise data platforms. This hands-on role requires collaboration across data engineers, architects, data scientists, and business stakeholders.

You will design data pipelines and APIs on GCP, implement secure CI/CD workflows, and mentor junior engineers while solving complex data challenges in a fast-paced environment.