Assistant Manager
KPMG India
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.
- 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.
- 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
Role: Data Modeler
QUALIFICATIONS
Role: Data Modeler
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