Assistant Manager at KPMG

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data modelling, Azure SQL, Synapse, ADF, Databricks, ETL/ELT, Metadata management, Data lineage, Business glossary, Data governance, Data architecture, Master data management, Reference data, Data discovery, Data harvesting, SQL

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 Assistant Manager will support the Lead Enterprise Data Architect in creating and maintaining enterprise-level data models and governance processes. They will also assist in defining data schemas, ingestion patterns, and metadata management capabilities across engineering teams.