Assistant Manager - Data Modeler

Job Overview

Join as an Assistant Manager specializing as a Data Modeler to support enterprise data architecture and data platform engineering within a leading organization based in Bengaluru, Karnataka. This role focuses on shaping and governing data models, maintaining data repositories, and aligning data architecture practices across projects.

Key Responsibilities

• Assist the Lead Enterprise Data Architect with the development, refinement, and upkeep of enterprise-wide data models.
• Ensure compliance with governance standards by supporting modelling quality, naming conventions, and data model management.
• Manage and maintain version control and lineage within data modelling repositories like ER/Idera.
• Contribute to projects from a data architecture standpoint to guarantee alignment with enterprise modelling norms.
• Create documentation and define repeatable procedures to facilitate Data Architecture Assurance services.
• Support the maintenance and development of data dictionaries, business glossaries, and metadata resources.
• Develop data flows, manage end-to-end lineage, and establish cross-domain data relationships.
• Participate in data definitions groups and data governance bodies to uphold consistency and traceability.
• Ensure adherence to data architecture standards within data platform and engineering teams.
• Assist in defining data schemas, ingestion methods, and ETL/ELT processes for data validation, storage, and consumption.
• Promote implementation of best data management practices related to data lineage, quality, master/reference data, and storage design.
• Support the creation and deployment of metadata capabilities including lineage tracking, glossaries, metadata stores, catalogs, and stewardship workflows.
• Contribute to data harvesting activities and support business catalog tools implementation.

Required Qualifications and Skills

• Proficiency in data modelling across conceptual, logical, and physical levels.
• Hands-on experience with Microsoft data technologies, such as Azure SQL, Synapse, Azure Data Factory (ADF), and Databricks.
• Expertise in data collection, integration, and management across varied distributed systems.
• Strong knowledge of designing data schemas and ETL/ELT solutions focused on consumption, data validation, and secure data storage.
• Experience in building and managing metadata management systems, including lineage, business glossaries, metadata stores, and cataloguing tools.
• Participation in data definitions creation and stewardship activities.
• Business acumen to translate organizational capabilities into data domains and entities.
• Familiarity with data harvesting, business catalog systems, and data discovery tooling.
• In-depth understanding of data management fundamentals including traceability, lineage, systems of record and authority, master and reference data, and metadata lifecycle and curation.