Assistant Manager at KPMG

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

16 Jun, 26

Salary

0.0

Posted On

18 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modelling, Data Architecture, Data Governance, ER/Idera, Version Control, Data Lineage, Data Dictionaries, Business Glossaries, Metadata Management, Azure SQL, Synapse, ADF, Databricks, ETL/ELT, Data Cataloguing, Data Discovery

Industry

Business Consulting and Services

Description

Role: Data Modeler Key Responsibilities Enterprise Data Modelling & Architecture (Primary Focus) * Support the Lead Enterprise Data Architect in the creation, refinement, and maintenance of enterprise‑level data models. * Support the data models governance process, ensuring standards, naming conventions, and modelling quality. * Support and maintain the ER/Idera modelling repository, including version control and model lineage. * Support projects from a data architecture perspective, ensuring alignment with enterprise modelling practices. * Build the necessary material and define repeatable processes to run the Data Architecture Assurance Service. * Contribute to data dictionaries, business glossaries, and enterprise metadata assets. * Contribute to the creation of data flows, end‑to‑end lineage, and cross‑domain data relationships. * Support data definitions working groups and other data governance bodies, ensuring consistency and traceability. Data Platform & Engineering Support * Ensuring alignment with data architecture standards. * Support definition of data schemas, ingestion patterns, and ETL/ELT solutions for consumption, validation, storage, and quality control. * Shape and embed data management best practices across engineering teams (lineage, quality, storage design, master/reference data). * Support the design and implementation of metadata capabilities, including lineage, business glossary, technical metadata, and stewardship workflows. * Contribute to data harvesting efforts and support the implementation of business catalogue tools. -------------------------------------------------------------------------------- Key Technical Skills & Experience * Strong data modelling skills across conceptual, logical, and physical layers. * Hands‑on experience with the Microsoft data technology stack (e.g., Azure SQL, Synapse, ADF, Databricks). * Experience in data collection, integration, and management across distributed systems. * Understanding of defining data schemas and ETL/ELT solutions for consumption, validation, and secure storage of data. * Proven experience in designing and implementing metadata management capabilities (lineage, glossary, metadata store, cataloguing tools). * Experience with data definitions creation and stewardship activities. * Strong business mindset to interpret organizational business capabilities and translate them into data domains and entities. * Experience in data harvesting, business catalogue, and data discovery tools. * Deep understanding of data management concepts including: * Traceability * Lineage * System of Record (SoR) and System of Authority (SoA) * Master Data and Reference Data * Metadata lifecycle and curation

Responsibilities

The primary focus involves supporting the Lead Enterprise Data Architect in creating, refining, and maintaining enterprise-level data models, ensuring governance, standards, and repository maintenance. Additionally, the role supports the data platform and engineering by ensuring alignment with architecture standards and shaping data management best practices across engineering teams.