GCP Data Architect

Tata Consultancy Services; Hyderabad, Chennai District, Bengaluru; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Tata Consultancy Services is actively seeking a GCP Data Architect with extensive experience in designing AWS data architecture. This role involves defining target-state architecture aligned to business outcomes, creating scalable ELT/ETL pipelines, and implementing governance and security controls for data assets.

The ideal candidate will have 10-12 years of experience, strong AWS skills, and a proven track record in leading migration projects. This position is crucial for driving the company's modernization roadmap and mentoring engineers.

Qualifications

• 10-12 years of experience in data architecture and engineering.
• Strong knowledge of AWS services including Glue, Redshift, and S3.
• Experience with security, governance, and compliance frameworks.

Responsibilities

• Define AWS data architecture aligned with business goals.
• Design scalable ELT/ETL pipelines for data processing.
• Implement governance and security controls for data assets.
• Lead migration projects from legacy platforms to AWS.

Skills

AWS data architecture

ELT/ETL pipelines design

Data governance

CI/CD for pipelines

Security controls design

Tools

AWS Glue

AWS Lambda

Terraform

AWS Redshift

Job description

TCS Hiring !!

GCP Data Architect

Experience: 10-12 years.

Locations: Chennai, Bangalore, Kolkata, Pune, Hyderabad.

Responsibilities

• Define target‑state AWS data architecture (data lake/lakehouse, warehouse, streaming) aligned to business outcomes and modernization roadmap.
• Design ingestion patterns (batch/CDC/streaming) using Glue, DMS, DataSync, Transfer Family, Kinesis/MSK, EventBridge; handle schema, idempotency, dedup, SLAs, retry and error handling.
• Design scalable ELT/ETL pipelines with Glue, Spark (EMR), Lambda, Step Functions and/or managed services; optimize for performance and cost.
• Own enterprise data models (conceptual, logical, physical), dimensional and data vault modeling; define partitioning, file formats (Parquet/ORC) and schema evolution.
• Implement transactional lakehouse tables (Iceberg/Hudi/Delta as applicable), compaction, and time‑travel/versioning strategies.
• Architect analytics consumption via Athena, Redshift, OpenSearch, and BI tools; enable semantic layer and governed datasets.
• Implement governance using Lake Formation and Glue Data Catalog; enforce lineage, metadata standards, and data quality controls.
• Design security controls (IAM, KMS, VPC), encryption, masking/tokenization and compliance (PII/GDPR/SOX) policies.
• Establish CI/CD for pipelines and infrastructure (CodePipeline, CodeBuild, GitHub), IaC (CloudFormation, Terraform), automated testing and releases.
• Implement monitoring/alerting and data observability (CloudWatch, logs/metrics, quality checks) and incident runbooks.
• Operate multi‑account (dev/test/prod) environments, shared services, centralized logging/security, SCP guardrails.
• Lead migration from legacy/on‑prem platforms to AWS, mentor engineers, and drive architecture/design reviews.