GCP Data Architect NYC, NY

GCP Data Architect – New York City, NY

Hybrid (2/3 days office/week)

• Platform Architecture:
  Design and implement end‑to‑end data solutions, including modern data lakes, data warehouses, and batch/streaming data pipelines.
• Cloud Modernization:
  Lead the migration of on‑premises or legacy data warehouses (e.g., Teradata, Oracle, Informatica) to GCP‑native architectures.
• Data Governance & Security:
  Implement strict data security frameworks, data masking, and metadata management strategies to ensure compliance and privacy.
• Collaboration:
  
  Partner with data engineers, data scientists, and business analysts to optimize analytical workloads and support AI/ML initiatives.
• Best Practices:
  Establish CI/CD pipelines, automated deployments, and cost‑optimization measures across the GCP ecosystem.

• 8+ years of hands‑on experience in data engineering or architecture, with at least 4–5 years focused on GCP‑native environments.
• Deep knowledge of GCP core services:
  Big Query, Cloud Data Fusion/Dataflow, Dataproc, Pub/Sub.
• Strong proficiency in Python, SQL, and shell scripting.
• Experience with workflow orchestration tools (Cloud Composer / Apache Airflow) and infrastructure‑as‑code (Terraform).
• Solid understanding of dimensional modeling, star/snowflake schemas, and data mesh/fabric concepts.