Description

You will define the data governance roadmap, lead investment data asset delivery, and build governed data models using Databricks and Fabric.

This role is on-site.

Responsibilities

• Define and advance the data governance roadmap, covering standardization, quality improvement, lineage, and KPI harmonization.
• Lead end-to-end delivery of investment data assets, including deep profiling, financial analysis, and SQL/Python transformation logic.
• Design standardized data models and semantic layers, creating reporting-ready datasets aligned to business definitions.
• Establish and enforce data definitions, lineage, naming conventions, and quality rules to drive structured remediation.
• Build prototypes and solutions using Fabric, Databricks, and Denodo, packaging outputs for productionization.

Required Skills

• 5-8 years of experience in Finance/Investment data, analytics engineering, BI, or data strategy.
• Strong SQL expertise for transformations, validation, and reconciliation.
• Hands-on experience building data assets in Databricks.
• Proven track record in ETL development and delivery for analytics-ready datasets.
• Data Governance ownership: definitions, lineage, metadata standards, and quality rules.
• BI experience delivering reporting-ready outputs and KPI-aligned datasets.
• Experience with Data Bricks and ETL processes.

Preferred Skills

• Power BI for semantic/reporting layer development and modernization.

Key Skills

Education

Any Graduate