Senior Snowflake Data Architect — Cloud Platform & Governance (Hybrid)

Capgemini

Whippany (NJ)

Hybrid

USD 111,000 - 131,000

Full time

14 days+

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Job summary

Capgemini is seeking a Snowflake Data Architect in Whippany, NJ, onsite/hybrid from Day 1. You will design scalable Snowflake architectures, define standards, and lead ETL/ELT pipelines while ensuring governance and data quality across cloud platforms.

The role requires 8+ years in data warehousing and 5+ years with Snowflake, plus strong SQL, DevOps, and leadership abilities. Capgemini offers a comprehensive benefits package and a global collaborative environment.

Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
8+ years of experience in data warehousing, data architecture, and cloud data platforms.
5+ years of hands‑on experience with Snowflake architecture, administration, and implementation.
Strong expertise in data modeling, ETL/ELT processes, and large‑scale data integration.
Experience designing enterprise data solutions on AWS, Azure, or Google Cloud Platform.
Strong knowledge of SQL, performance optimization, and data engineering best practices.
Experience with Infrastructure as Code (Terraform, CloudFormation, ARM Templates, or equivalent).
Familiarity with DevOps practices, CI/CD pipelines, and automated deployment frameworks.
Excellent communication, leadership, and stakeholder management skills.

Responsibilities

Design and implement scalable Snowflake data platform architectures.
Define data warehousing standards, best practices, and governance frameworks.
Architect ETL/ELT pipelines and data ingestion frameworks.
Implement Snowpipe, Streams, Tasks, Dynamic Tables, and Data Sharing solutions.
Integrate Snowflake with cloud platforms (AWS, Azure, GCP), data lakes, APIs, and enterprise applications.
Optimize platform performance, workload management, and cost efficiency.
Implement security controls including RBAC, data masking, and row‑level security.
Establish data quality, metadata, lineage, and governance practices.
Provide technical leadership, mentor teams, and collaborate with stakeholders to deliver business‑driven data solutions.