Tata Consultancy Services · Bengaluru
GCP Architect
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 →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) <p listparagraph"="" style="margin-bottom:0in;text-indent:-.25in; line-height:115%;mso-list:l0 level1 lfo2
Qualifications
BACHELOR OF ENGINEERING
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