Description

You will design and maintain conceptual, logical, and physical data models for enterprise analytics, reporting, and AI/ML workloads.

This role is on-site.

Responsibilities

• Develop dimensional, relational, and hybrid models (star, snowflake, data vault) aligned to BI consumption patterns.
• Optimize data models for Snowflake performance, scalability, and cost efficiency.
• Collaborate with data engineering teams to implement models in Azure Databricks (Spark) environments and ensure correct source-to-target mappings.
• Support AI/ML and GenAI feature readiness, including lineage, traceability, and reuse of data assets.

Required Skills

• 5+ years of experience in data modeling, data architecture, or analytics engineering.
• Strong expertise in data modeling concepts (conceptual, logical, physical) and data model design.
• Proficiency in SQL for building and validating data models and transformations.
• Hands-on experience with Snowflake data modeling and performance optimization.
• Cloud data architecture experience on Azure and/or AWS, including Azure Databricks.
• Familiarity with Python for data modeling and validation workflows.

Preferred Skills

• Experience with data governance, including metadata and lineage standards.

Key Skills

Education

Any Graduate