Key Responsibilities
- Design and document robust conceptual and logical data models for complex financial master data domains.
- Harmonise Legacy data structures and reverse-engineer existing models into a modern, unified format.
- Collaborate closely with Finance Directors to map requirements for regulatory reporting, tax compliance, and automated accounting workflows.
- Ensure all logical models align with a modern, cloud-first Lakehouse architecture (Databricks).
- Define data standards, data lineage, and master data governance guardrails for the finance stream.
Skills/Background
- Proven Data Architecture Expertise: A strong track record acting as a Data Architect on enterprise scale transformation or migration programs.
- Deep Modeling Skills: Expert in conceptual and logical data modelling (experience with tools like Erwin, Hackolade, dbt, or similar).
- Finance Domain Knowledge: A strong understanding of core finance data entities (Chart of Accounts, General Ledger, entity structures, and accounting principles).
- Modern Cloud Stack Exposure: Experience operating within a modern data ecosystem-ideally Azure Databricks (Medallion/Delta Lake architecture).
- Stakeholder Management: Exceptional communication skills with the ability to facilitate workshops and challenge senior finance business stakeholders.