Description

You will design and govern enterprise data models across Retail, Supply Chain, Banking, and Capital Markets domains. You translate complex business rules into normalized logical and physical structures that support multi-system integration and real-time flows.

Responsibilities

• Design conceptual, logical, and physical data models for time-series, reference, market, and transactional data.
• Align data architecture with Medallion Architecture (Bronze/Silver/Gold) in cloud lakehouse environments.
• Define modeling standards, naming conventions, and data dictionaries to ensure scalability and consistency.
• Evaluate existing models for gaps, inconsistencies, and optimization opportunities for multi-system integration.
• Collaborate with business SMEs, architects, and engineering teams to implement data structures for financial processing and analytics.

Required Skills

• 6–12 years of enterprise data modeling experience in complex, multi-system environments.
• Proficiency in relational, dimensional, and lakehouse modeling techniques.
• Hands-on experience with cloud storage formats including Parquet and Iceberg.
• Experience with distributed computing platforms such as Spark.
• Strong understanding of Finance and Capital Markets data, including trades, risk, positions, and reference data.
• Proficiency in data modeling tools such as ERwin, ER/Studio, or PowerDesigner.
• Strong analytical, documentation, and communication skills.

Preferred Skills

• Exposure to Azure, Databricks, Snowflake, or DBT.
• Knowledge of data governance, lineage, and regulatory compliance.
• Experience working in Agile/Scrum environments.

Key Skills

Education

Bachelor's degree