Senior GCP Data Architect – API & Data Pipelines

Capgemini; Oregon; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) retirement plans

Paid time off

Job summary

Capgemini seeks a Senior Staff Data Engineer – API to design, build, and support scalable enterprise data platforms on Google Cloud. You will work hands-on, collaborating with data scientists and engineers to enable analytics and AI/ML use cases.

This role requires 10+ years IT with 5+ in data architecture, 2+ years GCP, and API development experience, plus strong SQL, CI/CD, and Agile practices. Capgemini offers a broad benefits package for regular full-time employees.

Qualifications

• 10+ years IT experience including 5+ years in Data Architecture.
• Minimum 2+ years hands-on experience with Google Cloud Platform.
• 2+ years API development experience.
• Proficient with SQL, CI/CD, Git/GitHub and Agile methodologies.

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 data security, governance, CI/CD, and automated deployment best practices.
• Collaborate with data engineers, architects, data scientists, and business stakeholders.
• Produce high-quality, reusable code and mentor junior engineers on best practices.
• Support testing, deployment, monitoring, and production troubleshooting.

Skills

Data Architecture

GCP

API development

BigQuery

Cloud Run

GKE

Cloud Functions

Python FastAPI

Java

Scala

Apigee

Kafka

Spark Streaming

SQL

CI/CD

Git/GitHub

Agile

Mentoring

Communication

Education

Bachelor's degree

Master's degree preferred

Tools

Apigee

Kafka

Spark

Vertex AI

BigQuery

Cloud Storage

Dataflow

Dataproc

Pub/Sub

Job description

Capgemini seeks a Senior Staff Data Engineer – API to design, build, and support scalable enterprise data platforms on Google Cloud. You will work hands-on, collaborating with data scientists and engineers to enable analytics and AI/ML use cases.

This role requires 10+ years IT with 5+ in data architecture, 2+ years GCP, and API development experience, plus strong SQL, CI/CD, and Agile practices. Capgemini offers a broad benefits package for regular full-time employees.