Live opening · Posted 12 hours ago

AWS Data Architect

Tata Consultancy Services (TCS) · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 12 hours ago
CompanyTata Consultancy Services (TCS)
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
Listed12 hours ago

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About the role

Description supplied by the original job listing.

Greetings from TCS!!
About AWS:
TCS's AWS Business Unit offers innovation, experience, and talent to customers. The AWS-TCS partnership is powered by a decade of joint value creation, deep industry knowledge, technology expertise, and delivery wisdom. This collaboration focuses on delivering full-stack enterprise transformation to the cloud. TCS provides a comprehensive suite of offerings spanning cloud advisory, migration, application and infrastructure modernization, SAP, data and analytics, storage, security, and industry solutions powered with next-generation technologies like AI/ML, Edge/IoT, Serverless, and Low-Code/No-Code.
Role: AWS Data Architect
Role Overview
Looking for a Data Architect to define and implement enterprise data architecture strategies. The candidate will design scalable, secure, and high-performing data platforms supporting analytics, AI, and business intelligence initiatives.
Responsibilities
Define enterprise data architecture, standards, and governance
Design end-to-end data solutions including ingestion, storage, processing, and analytics
Lead data platform modernization (on-prem to cloud)
Ensure data quality, security, lineage, and compliance
Collaborate with business, analytics, and AI teams
Guide implementation teams and review data models and designs
Must have Skill: AWS Data Architect, Lambda, Pyspark, Python
Location: Pan India
Exp: 10 t0 15 years
Qualification: B.E/B.Tech , BSC, BA, MBA, M.Tech, BCA, MSC
Eligibility Qualification:
Strong experience in data modeling, data warehousing, and ETL/ELT
Expertise in SQL, relational & NoSQL databases
Experience with Big Data technologies (Spark, Hadoop)
Cloud data platforms: AWS (Redshift, Glue), Azure (Synapse, Data Factory), GCP
Knowledge of data governance, metadata management, and security

Work arrangement
No

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