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Data Architecture, Data Governance, Data Strategy and Advisory

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: Tata Consultancy Services
Full Time position
Listed on 2026-02-05
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Scientist, Data Warehousing
Job Description & How to Apply Below
Location: Bengaluru

Section Details / Example Content

Job

Experience Required 15+

Requirements
* · Very strong Data Architecture & data modelling skills.
· Able to articulate the data vision and mission when engaging with internal & external clients.
· Ability to educate colleagues and prepare and deliver educational content in data architecture.
· Proved experience in designing and implementing metadata management capabilities.
· Business mindset to understand organisation business capabilities.
· Experience in data harvesting and business catalogue tools.
· Understanding of data management concepts such as data analysis, traceability, lineage, system of record and authority, master data and reference data.
· Good understanding of DAMA framework and content.
· Experience of Microsoft data technology stack
· Understanding of defining data schemas and ETL/ELT solutions for the consumption, validation, and secure storage of data
· Understanding of regulatory obligations related to data management and comfortable working within in a highly regulated framework.

Key

Responsibilities
* · Support the Head of Data Architecture to run enterprise data architecture practise.
· Be the member of data architecture advisory within KPMG.
· Support and help to embed best practice data architecture principles.
· Contribute to and maintain our data architecture repository (data flows, lineage, models and catalogue)
· Support the assurance of data deliverables as part of internal technology projects.
· Provide advice and guidance to internal technology projects.
· Where necessary, lead the data workstream on large technology transformations.
· Support the management of project data architects.
· Support the delivery of our enterprise data model, providing expert guidance to our enterprise data modellers.
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