GCP API Solution Architect

Capgemini • Atlanta, GA

6h • Hybrid

About The Position

Capgemini is seeking a highly experienced GCP API Solution Architect with strong data engineering expertise to lead complex cloud data and API initiatives. This role will focus on designing and modernizing scalable, secure, and API-driven data platforms on Google Cloud Platform (GCP), supporting enterprise analytics, integration, and AI use cases.

Requirements

• 10+ years of overall IT experience with 5+ years in cloud data architecture
• Proven experience designing and delivering GCP-based data and API platforms
• Strong background in large-scale enterprise data programs
• Deep expertise in Google Cloud Platform, including: BigQuery, Cloud Storage, Dataflow (Apache Beam), Pub/Sub, Dataproc (Spark), Composer (Airflow)
• Strong experience with API architecture and management, including Apigee
• Solid understanding of data modeling, ETL/ELT, streaming architectures, and SQL
• Experience with CI/CD pipelines, Terraform, and DataOps practices
• Exposure to AI/ML enablement on GCP (Vertex AI is a plus)
• Strong communication and stakeholder management skills
• Ability to explain complex technical concepts to both technical and non-technical audiences
• Experience working with global and distributed teams
• Passion for innovation, engineering excellence, and continuous improvement

Nice To Haves

• Google Professional Data Engineer – Preferred
• Google Professional Cloud Architect – Preferred

Responsibilities

• Lead end-to-end solution and API architecture for cloud data platforms on Google Cloud Platform
• Define and govern reference architectures, API patterns, and best practices for data ingestion, processing, storage, and analytics
• Architect and guide implementation of batch and streaming pipelines using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer
• Design API-led integration architectures using Apigee and cloud-native services
• Enable modern data lakehouse and data warehouse architectures aligned with analytics, reporting, and AI/ML use cases
• Ensure alignment with data governance, quality, lineage, security, and compliance standards
• Design infrastructure using Infrastructure as Code (IaC) tools such as Terraform
• Collaborate with platform teams on CI/CD, DataOps, monitoring, and operational excellence
• Apply GCP security best practices including IAM, networking, encryption, and compliance
• Partner with business and technology stakeholders to translate business needs into scalable technical solutions
• Act as a trusted advisor for cloud data modernization and GCP best practices
• Support solution design activities including architecture reviews, estimates, and technical proposals

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees