We are seeking a Principal Data Architect to lead the design and delivery of a modern investment data ecosystem supporting a large-scale front office transformation. This role is ideal for a strategic technical leader who combines deep architecture expertise with strong business acumen and can partner directly with investment stakeholders to modernize data platforms, workflows, and analytics capabilities.
You will serve as both a hands-on architect and trusted advisor, guiding technology direction, influencing platform decisions, and mentoring internal teams through a multi-year modernization journey.
Architect and implement modern investment data platforms and pipelines
Lead enterprise data architecture strategy across front office systems
Evaluate and recommend vendor platforms and integration approaches
Translate investment workflows into scalable data models and architecture
Partner directly with portfolio managers, traders, analysts, and technology leaders
Mentor internal data engineers and architects
Drive adoption of modern data tools, standards, and governance practices
Communicate technical strategy clearly to business stakeholders and executives
Production experience with Snowflake, including performance optimization and cost management
Strong experience with dbt, testing frameworks, lineage, and documentation standards
Advanced data modeling for analytics, reporting, and investment decision support
Deep FactSet expertise (workstation, feeds, APIs), preferably including modernization or migration initiatives
Strong understanding of front office data flows:
Portfolio management
Trading workflows
Investment research processes
Familiarity with:
Order Management Systems (OMS)
Portfolio accounting platforms
Performance measurement systems
8+ years in data architecture, data engineering, or platform architecture
5+ years in asset management, capital markets, or investment operations
Demonstrated experience leading modernization or transformation initiatives
Track record of collaborating directly with investment professionals to solve complex data challenges