Data Modeler

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About the Role

Data Modeler

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 (Bronze–Silver–Gold 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

  .

Good to Have

• Familiarity with

  Databricks, Snowflake, or Azure Data Factory

  .
• Knowledge of

  CDC (Change Data Capture)

  and

  data integration patterns

  .
• Understanding of

  data quality frameworks

  and

  data cataloging tools

  (e.g., Collibra, Alation).