Staff Software Engineer (Reference Data)

About this role

• We are seeking an experienced and highly motivated Staff Software Engineer for the Reference Data Team in the US, a critical component of the Addepar Platform team
• The Addepar Platform is a comprehensive data fabric that provides a single source of truth for our product set, encompassing a centralized and self-describing repository, API driven data services, integration pipeline, analytics infrastructure, warehousing solutions, and operating tools
• The Reference Data Team is responsible for the acquisition, conversion, cleansing, reconciliation, modelling, tooling, and infrastructure related to the integration of market and security master data from third-party data providers
• The team is critical to our core business, enabling alignment across public and alternative investment data products and empowering clients to effectively manage their investment portfolios
• As the Staff Software Engineer, you will play a crucial role in architecting complex systems and implementing solutions to deliver on business outcomes using a modern and diverse technology stack, including PySpark, Python, AWS, Terraform, Java, Kubernetes, microservices, and more
• Drive the technical direction for complex solutions in close alignment with your product counterparts, direct engineering peers in other regions and the wider engineering community
• Partner with multi-functional teams to design, develop, and deploy scalable data solutions that meet business requirements
• Build frameworks that supports highly performant ingestion and distribution of financial data and build AI-native products, moving from initial prototype to scalable production services with high velocity
• Evaluate and drive strategic business and technology decisions for the company and for customers
• Be a technical thought leader in multiple areas who educates and shares best practices. Your contributions deliver strategic and prescriptive guidance
• Working in a fast-paced, dynamic environment to deliver high-qual...