Senior Data Modeler

2 days ago

Pune, Maharashtra, India Optimum Solutions Full time ₹ 10,00,000 - ₹ 25,00,000 per year

About the Role

We are looking for an experienced Data Modeler to join our data engineering team for a leading banking project. The ideal candidate will have hands-on experience in data modeling using Erwin, a deep understanding of Medallion architecture, and strong analytical skills to translate business requirements into scalable, high-quality data models.

Key Responsibilities

  • Design, develop, and maintain conceptual, logical, and physical data models using Erwin Data Modeler.
  • Implement and optimize Medallion architecture (Bronze, Silver, Gold layers) for data pipelines and analytical systems.
  • Collaborate with data engineers, business analysts, and architects to define data modeling standards and best practices.
  • Work closely with stakeholders to understand business requirements and translate them into efficient data models.
  • Ensure data consistency, quality, and governance across multiple systems and environments.
  • Participate in data architecture reviews and provide guidance on database design and performance optimization.
  • Support data lineage, metadata management, and data cataloging initiatives.
  • Collaborate with the banking domain teams to ensure compliance with regulatory and security standards.

Required Skills & Experience

  • Minimum 6 years of experience in data modeling within large-scale enterprise environments.
  • Strong hands-on experience with Erwin Data Modeler (or equivalent data modeling tools).
  • Proven experience in Medallion architecture (BronzeSilverGold layers) and modern data lake design.
  • Deep understanding of data warehousing concepts, ETL/ELT design, and data governance.
  • Solid knowledge of SQL and experience working with relational and NoSQL databases.
  • Exposure to cloud data platforms (e.g., Azure, AWS, GCP) and modern data engineering ecosystems.
  • Strong analytical and communication skills with the ability to collaborate across teams.
  • Prior experience working on banking or financial services projects is mandatory.

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