The opportunity

We are seeking a highly skilled Data Modeler with strong expertise in Enterprise Data Modelling, Data Warehousing, Semantic Modelling, Data Governance, and Wealth & Asset Management data domains. The ideal candidate will lead enterprise-scale data modelling and data transformation initiatives while collaborating closely with business and technology stakeholders.

The candidate should possess strong experience in logical, physical, and dimensional data modelling, enterprise architecture, data quality, data lineage, semantic modelling, Ontologies, and either Knowledge Graphs or AI-enabled Data Engineering practices.

Your key responsibilities

Skills and attributes for success

- Must Have - Data Modelling, Physical Data Modelling, Logical Data Modelling, Dimensional Data Modelling, Enterprise Architecture, Strong SQL Skills, Experience with Erwin or ER/Studio ,Wealth & Asset Management (WAM) Domain Knowledge, Data Governance, Data Lineage, Data Quality, Semantic Modelling, CI/CD concepts and practices, experience in Ontologies, and either Knowledge Graphs or AI skills on data engineering.
- Preferred - Conceptual Data Modelling, Oracle SQL Developer Data Modeler, Git, Exposure to cloud-based data platforms and contemporary data ecosystems.

To qualify for the role, you must have

- 3 to 7 years of experience in Data Modeling, Data Architecture, Data Engineering, or Enterprise Data Warehousing.
- Strong experience in Physical, Logical, and Dimensional Data Modeling.
- Proficiency in SQL and data analysis techniques.
- Hands-on experience with Erwin or ER/Studio data modeling tools.
- Experience implementing enterprise-level data models and architecture standards.
- Experience in Wealth & Asset Management, Investment Management, Banking, Financial Services, or Capital Markets domains.
- Working knowledge of Data Governance, Data Quality, and Data Lineage principles.




- Understanding of Semantic Modeling concepts and methodologies.
- Experience in Ontologies, and either Knowledge Graphs or AI skills on data engineering.
- Experience working within CI/CD-enabled environments.
- Strong stakeholder management and communication skills.
- Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, Data Science, or related discipline.

Ideally, you'll also have

- Graph Data Modelling, RDF, OWL, SPARQL, GraphRAG, Semantic Search, Enterprise Search, Vector Search, AI Knowledge Retrieval, LLM Grounding, Agentic AI, AI-Ready Data Products, ETL/ELT, APIs, Databricks, Snowflake, KPI Frameworks, Data Storytelling, Insight Generation, Advanced SQL, Business Analysis, AI Observability, Documentation, and Architecture Support.

What we look for

We look for professionals who combine strong hands-on delivery, architecture awareness, stakeholder collaboration, production ownership and a continuous learning mindset.

What working at EY offers

At EY, we're dedicated to helping our clients, from start-ups to Fortune 500 companies, and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasises high quality and knowledge exchange. Plus, we offer:

- Support, coaching and feedback from some of the most engaging colleagues around
- Opportunities to develop new skills and progress your career
- The freedom and flexibility to handle your role in a way that's right for you

EY | Building a better working world

📌 EY - GDS Consulting - AI And DATA - Data Modeller - Senior (India)
🏢 EY
📍 India