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Senior Data Architect

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Onsite

Senior Data Architect

Tata Consultancy Services

Senior Data Architect

Skills

SQL QueriesData EngineeringTableauPythonData ScienceDatabricksData AnalysisMachine LearningAIAWSPySparkCompliancePower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

10 August 2026

What they need


Role

Senior Data Architect

Experience

12-18+ Years

Location Pan India

Job Summary

We are looking for an experienced Data Architect to define and drive enterprise data architecture, cloud data platform strategy, and data transformation initiatives. The ideal candidate will lead the design of scalable, secure, and governed data platforms supporting analytics, AI/ML, reporting, and business intelligence requirements.

Key Responsibilities

  • Define enterprise data architecture, standards, and governance frameworks.
  • Design modern Data Lakes, Lakehouse, and Data Warehouse architectures.
  • Establish enterprise data models, master data, metadata, and lineage frameworks.
  • Design data ingestion, transformation, and integration solutions.
  • Lead cloud data platform architecture on Azure and/or AWS.
  • Collaborate with business stakeholders, enterprise architects, and delivery teams.
  • Drive data migration and modernisation initiatives.
  • Ensure data quality, governance, security, privacy, and compliance standards.
  • Create architecture artefacts including HLDs, LLDs, roadmaps, and design documents.
  • Support data engineering, analytics, AI/ML, and reporting programmes

Mandatory Skills

Data Architecture

  • Enterprise Data Architecture
  • Data Modelling (Conceptual, Logical & Physical)
  • Data Warehouse & Data Lake Design
  • Lakehouse Architecture
  • Master Data Management (MDM)
  • Data Governance & Data Quality

Cloud Platforms

  • Azure Data Platform OR AWS Data Platform
  • Azure Data Factory / AWS Glue
  • Azure Databricks / Databricks
  • Azure Synapse / Redshift
  • ADLS / S3

Data Engineering

  • ETL / ELT Frameworks
  • Python
  • SQL
  • Spark / PySpark
  • Data Integration Patterns

Analytics

  • Power BI / Tableau
  • Advanced Analytics
  • Data Science Platform Integration

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