[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Bengaluru # GCP Architect Bengaluru Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/422923J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / GCP Architect ## Job description Walk in at Bengaluru Date 25 July 26 ### Job Description Job Description: Google Cloud Data Architect Title Google Cloud Data Architect Location India ### Skills and Experience Required - 12+ years of experience in data engineering, data platform, or data architecture roles (with 4+ years on Google Cloud Platform) - Deep expertise in BigQuery architecture, performance tuning, cost optimization, and data modeling - Strong understanding of modern data architecture patterns (lakehouse, medallion/bronze-silver-gold, data mesh—where applicable) ### Hands-on knowledge of GCP data services including - Cloud Storage, Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, Cloud Composer (Airflow), Dataform, Cloud Functions/Cloud Run - Experience with data governance and metadata management using Dataplex and/or Data Catalog (or equivalent tools) - Strong skills in SQL and one programming language ( Python preferred) - Proficiency with CI/CD and Infrastructure-as-Code (Terraform preferred) for GCP deployments - Strong stakeholder management skills; ability to translate business requirements into scalable technical architectures - Google Cloud certifications preferred (e.g., Professional Cloud Architect, Professional Data Engineer) ### Responsibilities - Define the end-to-end data platform architecture on GCP (ingestion, storage, processing, serving/consumption) aligned to business outcomes - Design enterprise-scale data lake / lakehouse / warehouse solutions leveraging BigQuery and Cloud Storage, including data domain organization and layering strategy - Establish standards for data modeling (dimensional, data vault, canonical models) and ensure consistency across data products - Architect batch and streaming ingestion patterns using Dataflow, Dataproc, Pub/Sub, and orchestration with Cloud Composer - Define and enforce data governance, including metadata, lineage, cataloging, data quality controls, retention, and lifecycle management (Dataplex/Data Catalog where applicable)