Job Role: Sr. Data Engineer Architect (must have architect experience)
Location: Melville, NY (Long Island) 2-3 days/week in office
No C2C, Only W2
Client Management Experience:
Experience work closely with client enterprise architect.
Act as a mentor to technical offshore data analytics team
Data Architecture experience:
Experience architecting solutions in Cloud Data Engineering platform (eg: Google Cloud Platform, AWS, Azure)
Design end-to-end data architectures on Google Cloud Platform leveraging BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, and Looker.
Develop modern data lake, data warehouse, and lakehouse architectures using best practices and well architected frameworks in Google Cloud Platform and prefer to have experience in AWS, Azure & Databricks
Create logical and physical data models, data flow diagrams, integration patterns, and reference architectures.
Architect scalable ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), and/or Cloud Composer orchestrations.
Lead cloud-native modernization initiatives: migration from legacy platforms to Google Cloud Platform.
Data Engineering & Development Oversight:
Provide expert guidance to data engineering teams on standards, patterns, and reusable frameworks.
Optimize Big Query performance including partitioning, clustering, materialized views, BI Engine, and storage optimizations.
Implement data quality, metadata management, observability, and lineage frameworks using tools like Data plex and Data Catalog.
Ensure CI/CD adoption using Cloud Build, GitHub/GitLab pipelines, and infrastructure-as-code (Terraform).
Data Governance & Security:
Help define data governance standards including access models, encryption, retention, and data lifecycle management.
Implement IAM policies, VPC Service Controls, organizational policy constraints, and secure data sharing patterns.
Ensure compliance with GDPR, HIPAA, PCI, and internal corporate policies.
Best Regards,
Tarun K
Phone: +1-
Email:
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