12 Oct
|
KPMG Global Services
|
Pune
12 Oct
KPMG Global Services
Pune
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
• Solid 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
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🏢 KPMG Global Services
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