Architect, Data Engineering

Role Summary Virtusa is seeking a GCP Data Architect to design, modernize, and scale enterprise cloud data platforms. In this role, you will lead end-to-end data transformation initiatives, implement strict data lineage frameworks, and architect robust temporal/date-driven data modeling and processing pipelines on Google Cloud Platform.

Key Responsibilities Data Transformation Architecture:
Design, optimize, and standardize complex ETL/ELT data transformation frameworks using Google Cloud Dataflow (Apache Beam), Dataproc, and dbt to process large-scale structured and unstructured data.

Data Lineage & Governance:
Implement enterprise-wide data lineage tracking, metadata management, and impact analysis using GCP Dataplex and Data Catalog to ensure full traceability from ingestion to analytics.

Date & Time-Series Data Management:
Architect robust frameworks for date/time-based partitioning, temporal data modeling (SCD Type 2, bitemporal data), sliding time-window aggregations, and late-arriving event processing in real-time and batch pipelines.

Modern GCP Data Platform Design:
Lead the migration and architecture of scalable Data Lakes and Warehouses on Google Big Query, ensuring optimal schema design, clustering, and cost optimization.

Security & Compliance:
Establish data governance, audit logging, IAM policies, and column/row-level security to maintain compliance across all transformation and lineage layers.

Data Transformation,Data Lineage & Cataloging,Dev Ops & Governance,GCP Core Platform

Job Summary Job number: P-103687

Profession:
Other

Experience:

10-15

Years