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Kpmg Services

Assistant Manager

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Job Description

JOB 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 enterpriselevel 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, endtoend lineage, and crossdomain 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.
  • Handson 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

Role: Data Modeler

QUALIFICATIONS

Role: Data Modeler

Key Technical Skills & Experience

  • Strong data modelling skills across conceptual, logical, and physical layers.
  • Handson 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
#KGS

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Job ID: 147529161

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