Define and own the end-to-end Snowflake data architecture, including data modelling, storage, and compute strategies
Design scalable ELT/ETL frameworks for ingesting data from internal systems, third-party providers, and client sources
Establish best practices for performance optimization, cost control, and security
Implementation & Delivery
Lead hands-on development of Snowflake solutions, including schemas, pipelines, and data transformations
Build and optimize data ingestion pipelines (batch and real-time where applicable)
Integrate Snowflake with upstream and downstream systems (APIs, data lakes, reporting tools, etc.)
Data Integration & Financial Data Expertise
Design robust ingestion and normalization of financial datasets (positions, transactions, market data, pricing, reference data)
Ensure data consistency and lineage across portfolio management workflows
Implement data governance frameworks including access control, auditing, and data quality monitoring
Ensure compliance with financial data regulations and client data security requirements
Leadership & Collaboration
Act as technical lead across the project lifecycle, mentoring engineers and guiding best practices
Collaborate with product managers, architects, and client teams to translate business requirements into technical solutions
Influence tooling and technology decisions across the data platform
