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Role: GCP Data Architect
Location: New York / New Jersey
Typr: FTE
Level: Director
Role Overview: We are seeking an experienced GCP Data Architect with strong expertise in Google Cloud Platform (GCP) and Databricks to design and implement scalable, secure, and high-performance enterprise data solutions.
Key Responsibilities:
  • Design end-to-end data architecture and cloud data solutions on GCP.
  • Architect data lakes, data warehouses, and lakehouse platforms using
  • Databricks, BigQuery, Apache Spark, and Delta Lake.
  • Design and optimize data pipelines, ETL/ELT processes, and data integration frameworks.
  • Leverage GCP services such as Cloud Storage, Dataflow, and Pub/Sub for data processing and integration.
  • Define data modeling, governance, security, quality, and performance optimization standards.
  • Lead cloud data migration and modernization initiatives.
  • Collaborate with data engineers, analytics teams, and business stakeholders to translate requirements into scalable technical solutions.
  • Support advanced analytics, AI/ML, and Generative AI initiatives through modern data platforms.
Required Skills & Experience:
  • 15+ years of experience in data architecture, data engineering, or related roles.
  • Strong experience with
  • Google Cloud Platform (GCP) and Databricks.
  • Expertise in BigQuery, Apache Spark, Delta Lake, and lakehouse architecture.
  • Hands-on experience with ETL/ELT pipelines, data warehousing, and data integration.
  • Knowledge of GCP data services, cloud security, governance, and cost optimization.
  • Experience designing scalable data platforms and handling large datasets.
  • Strong analytical, problem-solving, and communication skills.

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