
Senior Data Platform Architect Microsoft Fabric (Financial Services)
Description:
This role will own the architecture and delivery of a cloud-native data ecosystem built on Microsoft Fabric, supporting trading, risk, and investment analytics.
The position involves defining data architecture standards, building scalable pipelines, and partnering with front-office and technology leadership in a high-impact environment.
Key Responsibilities:
- Architect and own the end-to-end enterprise data platform using Microsoft Fabric and Lakehouse architecture
- Design scalable data ingestion frameworks (CDC, incremental pipelines) from multiple internal systems
- Build robust analytical data models and semantic layers for advanced reporting and analytics
- Establish data governance, quality, and security standards in a regulated environment
- Develop dimensional models to support trading, P&L, and financial analytics use cases
- Collaborate with senior stakeholders across technology and front-office teams
Ideal Candidate Profile:
- 10 to 15 years of experience in data engineering or data platform architecture
- Strong expertise in SQL and enterprise data modelling (star schema, SCDs)
- Hands-on experience with Microsoft Fabric and Power BI semantic modelling
- Exposure to financial datasets such as trading, market data, or P&L analytics
- Experience in capital markets, hedge funds, or asset management environments preferred
- Working knowledge of Python or distributed processing frameworks (PySpark, Synapse, Databricks)
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