About Auxo AI :

We are an AI-first company that accelerates our clients transformative journeys as they embrace and integrate AI to drive their business innovation, growth and address challenges. We help AI inside the fabric of their ecosystem through unique blend of advisory, decision sciences and engineering. For details visit- auxoai.com

Company Size : Startup / Small Enterprise

Working Days : 5 days/week

Role & Responsibilities :

AuxoAI drives large-scale data modernization and AI readiness for global enterprises. We are looking for an experienced Data Modeler to design, standardize, and maintain enterprise data models across our modernization initiatives ensuring consistency, quality, and business alignment across cloud data platforms.

The person will be responsible for translating business requirements and data flows into robust conceptual, logical, and physical data models across multiple domains (Customer, Product, Finance, Supply Chain, etc.). You will work closely with Data Architects, Engineers, and Governance teams to ensure data is structured, traceable, and optimized for analytics and interoperability across platforms like Snowflake, Dremio, and Databricks.

Key Responsibilities :

- Develop conceptual, logical, and physical data models aligned with enterprise architecture standards.

- Engage with Business Stakeholders : Collaborate with business teams, business analysts and SMEs to understand business processes, data lifecycles, and key metrics that drive value and outcomes.

- Value Chain Understanding : Analyze end-to-end customer and product value chains to identify critical data entities, relationships, and dependencies that should be represented in the data model.

- Conceptual and Logical Modeling : Translate business concepts and data requirements into conceptual and logical data models that capture enterprise semantics and support analytical and operational needs.

- Physical Data Modeling : Design and implement physical data models optimized for performance and scalability

- Semantic Layer Design : Create semantic models that enable business access to data via BI tools and data discovery platforms.

- Data Standards and Governance : Ensure models comply with enterprise data standards, naming conventions, lineage tracking, and governance practices.

- Implement naming conventions, data standards, and metadata definitions across all models.

- Collaboration with Data Engineering : Work closely with data engineers to align data pipelines with the logical and physical models, ensuring consistency and accuracy from ingestion to consumption.

- Manage version control, lineage tracking, and change documentation for models.

- Participate in data quality and governance initiatives to ensure trusted and consistent data definitions across domains.

- Create and maintain a business glossary in collaboration with the governance team.