Assistant Manager

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 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