Assistant Manager

Fresher

Save

Early Applicant

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:

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: