Description

You will design and own enterprise data modeling and architecture solutions.

Responsibilities

• Design and maintain conceptual, logical, and physical data models using Erwin Data Modeler for subject area and cross-domain canonical models.
• Architect and implement Master Data Management solutions using Informatica MDM for Customer, Product, Supplier, Pricing, and Party domains.
• Define data architecture patterns for Databricks Lakehouse utilizing Delta Lake, Unity Catalog, and medallion architecture.
• Translate enterprise transactional and MDM models into optimized analytical schemas and data marts.
• Partner with data engineering teams to implement ELT/ETL pipelines using Spark SQL and PySpark while ensuring data validation.

Required Skills

• 10+ years experience in enterprise data modeling and data architecture roles.
• Strong hands-on experience with Erwin Data Modeler in large-scale environments.
• Proficiency in Data Architecture principles.
• Expertise in SQL and Spark SQL.
• Experience with PySpark and Python for data pipeline implementation.
• Hands-on knowledge of Databricks, Delta Lake, and Unity Catalog.
• Experience architecting and implementing Master Data Management solutions (e.g., Informatica MDM).

Key Skills

Education

Any Graduate