AWS Data Architect

Job description

TCS Walk-in at Bangalore- Yeshwanthpur Date- 25-Jul-26 JD

• Total 12+ years in IT with 6+ years in data architecture roles and at least 4+ years hands-on experience architecting solutions on AWS.

Deep expertise in AWS data services

• Redshift, Glue (Jobs, Crawlers, Workflows, Data Catalog), S3, Lambda, Athena, EMR, Kinesis, DynamoDB, RDS, Lake Formation, and Step Functions.
• Strong hands-on skills in Python and PySpark for data engineering, transformation, and automation at scale.
• Advanced SQL skills with proven experience designing and optimizing Redshift data warehouses (distribution/sort keys, WLM, Spectrum, materialized views).
• Solid understanding of data modeling techniques (3NF, dimensional/star-snowflake, Data Vault) for OLTP, OLAP, and lakehouse architectures.
• Experience designing batch, micro-batch, and real-time streaming pipelines using Kinesis, MSK (Kafka), or equivalent.
• Hands-on experience with IaC frameworks such as CloudFormation, Terraform, or AWS CDK, and CI/CD tools (CodePipeline, Jenkins, GitHub Actions).
• Strong understanding of data security, encryption, IAM policies, VPC networking, and compliance frameworks (GDPR, HIPAA, SOC 2).
• Experience integrating AWS data platforms with BI (QuickSight, Power BI, Tableau) and ML platforms (SageMaker).
• Proven ability to lead architecture discussions, produce HLD/LLD artifacts, and present solutions to CXO-level stakeholders. </div

Qualifications

BACHELOR OF ENGINEERING