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Role- Walk In|| AWS Data Architect
Experience: 8 - 15 Years

Walk In Venue: TCS -Ecospace Business Park, Plot No. II/F-11 & II/F-12, Action Area II, New Town, Rajarhat, Kolkata

Walk In Date - 25-July-26 (Saturday)

Role Summary

The AWS Data Architect is responsible for designing, architecting, and governing enterprise-scale data platforms on AWS. This role leads the definition of data architecture blueprints, reference designs, and modernization roadmaps that leverage AWS Redshift, Glue, S3, Lambda, and related services to deliver scalable, secure, and analytics-ready data ecosystems.

Must have-

Strong experience 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.
Solid 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 stakeholder

📌 Walk In|| AWS Data Architect (Kolkata)
🏢 Tata Consultancy Services
📍 Kolkata