Assistant Manager

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 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
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
#KGS

Work arrangement
No