Practicing Data Architect

Capgemini • Atlanta, GA

1d • Hybrid

About The Position

Looking for a GCP Architect with Data Engineering experience to lead complex technology initiatives.
Your Role•    Lead end to end architecture design for cloud data platforms on Google Cloud Platform.•    Define reference architectures, 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.•    Enable modern data lakehouse and data warehouse architectures aligned with analytics and AI use cases.•    Ensure alignment with data governance, quality, lineage, and security standards.•    Design infrastructure as code using Terraform or equivalent tools.•    Collaborate with platform teams on CI/CD, DataOps, and monitoring strategies.•    Apply GCP security best practices, including IAM, networking, encryption, and compliance controls.•    Partner with business and technology stakeholders to translate business requirements into technical architectures.•    Act as a technical advisor on cloud data modernization and GCP best practices.•    Support solution design activities including technical estimates and architecture reviews.

Requirements

• 10+ years of overall IT experience with 5+ years in cloud data architecture.
• Proven experience designing and delivering GCP based data platforms.
• Background with large enterprise data programs across industries.
• Deep expertise in Google Cloud Platform, including, BigQuery, Cloud Storage,Dataflow (Apache Beam),Pub/Sub, Dataproc (Spark) and Composer (Airflow)
• Strong knowledge of data modeling, ETL/ELT, streaming architectures, and SQL.
• Experience with CI/CD, Terraform, and DataOps practices.
• Google Professional Data Engineer
• Google Professional Cloud Architect
• Strong communication and stakeholder management abilities.
• Ability to explain complex technical concepts to technical and non technical audiences.
• Experience working in global, distributed teams.
• Passion for innovation, engineering excellence

Nice To Haves

• Exposure to AI/ML enablement on GCP (Vertex AI is a plus).

Responsibilities

• Lead end to end architecture design for cloud data platforms on Google Cloud Platform.
• Define reference architectures, 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.
• Enable modern data lakehouse and data warehouse architectures aligned with analytics and AI use cases.
• Ensure alignment with data governance, quality, lineage, and security standards.
• Design infrastructure as code using Terraform or equivalent tools.
• Collaborate with platform teams on CI/CD, DataOps, and monitoring strategies.
• Apply GCP security best practices, including IAM, networking, encryption, and compliance controls.
• Partner with business and technology stakeholders to translate business requirements into technical architectures.
• Act as a technical advisor on cloud data modernization and GCP best practices.
• Support solution design activities including technical estimates and architecture reviews.

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: Mid Level
• Education Level: No Education Listed