Google Cloud Platform Data Architect : NYC, NY

Google Cloud Platform Data Architect

New York City, NY

Hybrid (2/3 days office/week)

Responsibilities:

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 Google Cloud Platform-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 Google Cloud Platform ecosystem.

Required Qualifications:

Experience: 8+ years of hands-on experience in data engineering or architecture, with at least 4 5 years focused on Google Cloud Platform-native environments.

Google Cloud Platform Core Services: Deep knowledge of BigQuery (data warehousing), Cloud Data Fusion/Dataflow (ETL/ELT), Dataproc (Spark/Hadoop), and Pub/Sub (event streaming).

Programming & Scripting: Strong proficiency in Python, SQL, and shell scripting.

Orchestration & DevOps: Experience with workflow orchestration tools (e.g., Cloud Composer / Apache Airflow) and infrastructure-as-code (Terraform).

Data Modeling: Solid understanding of dimensional modeling, star/snowflake schemas, and data mesh/data fabric concepts.

Thanks,

Milind Pandey

Arkhya Tech INC.

1020 Elden St, Suite #102, Herndon, VA 20170