Design, implement, and maintain conceptual, logical, and physical data models that meet business data/process and technology requirements across a wide selection of platforms
Job Summary
Design, implement, and maintain conceptual, logical, and physical data models that meet business data/process and technology requirements across a wide selection of platforms.
Advise and influence decision making, contribute to policy development, and take responsibility for operational effectiveness, collaborating closely with other functions/business divisions.
Spearhead the evolution of our digital landscape, driving innovation and excellence by harnessing cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences.
Matching Summary
Design, implement, and maintain conceptual, logical, and physical data models that meet business data/process and technology requirements across a wide selection of platforms.
Skills & Requirements
Must-have
Conceptual, Logical, Physical data modeling
Entity-Relationship (ER) modelling
Advanced SQL (DDL, DML, performance tuning)
Data warehousing concepts (Inmon, Kimball)
Data Governance & Lineage
Translating business requirements into data models
Nice-to-have
Stakeholder Communication
Cross-functional collaboration
Agile/Scrum or Kanban teams
Creative problem solving
Risk mitigation and control strengthening
Key Requirements
Experience with Data Modelling Tools (ER/Studio, Erwin)
Experience with Relational and Columnar Database Systems
Experience with SQL and Scripting (PL/SQL, T-SQL, Python, Shell)
Experience with ETL tools (Informatica)
Experience with Cloud Platforms (AWS, Snowflake, Databricks)
Experience with Investment Banking Data Concepts
Experience with Data Governance & Lineage tooling (DBT, Alation, Collibra)