Description

You design and govern enterprise data models across Retail, Supply Chain, Banking, and Capital Markets domains.

This role is hybrid.

Responsibilities

• Design conceptual, logical, and physical data models for time-series, reference, market, and transactional data.
• Translate complex business rules into normalized structures supporting multi-system integration and real-time flows.
• 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.

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.
• Bachelor's degree in a relevant field.

Preferred Skills

• Exposure to Azure, Databricks, Snowflake, or DBT.
• Knowledge of data governance, lineage, and regulatory compliance.

Key Skills

Education

Bachelor's degree