Staff Software Engineer-Reference Data

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-quality results and drive continuous improvement

- B.S., or M.S. in Computer Science or similar technical field of study (or equivalent practical experience)

- Prior experience with distributed systems, microservices and messaging queues

- Ability to own complex projects involving partners across multiple team

- Proven ability to collaborate with and mentor other engineers

- Working knowledge of at least one object oriented programming language (PySpark, Python, Java), relational databases, SQL, NoSQL, OLAP, and/or data lake architectures

- Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary

- Passion for the world of FinTech and solving previously intractable problems at the heart of investment management is a plus