1 month ago
Responsibilities
- Drive technical direction for complex solutions in partnership with product counterparts, engineering peers, and the broader engineering community.
- Design, develop, and deploy scalable data solutions that meet business requirements.
- Build high-performance frameworks for ingesting and distributing financial data.
- Build AI-native products from initial prototype through scalable production services.
- Evaluate and lead strategic business and technology decisions for the company and its customers.
- Provide technical leadership, strategic guidance, education, and best-practice sharing.
- Collaborate across teams and mentor other engineers while delivering high-quality results.
Requirements
- Bachelor’s or master ’s degree in computer science or a similar technical field, or equivalent practical experience.
- At least 7 years of software engineering experience.
- Experience with distributed systems, microservices, and messaging queues.
- Ability to own complex projects involving partners across multiple teams.
- Proven ability to collaborate with and mentor other engineers.
- Working knowledge of at least one object-oriented programming language, including PySpark, Python, or Java.
- Knowledge of relational databases, SQL, NoSQL, OLAP, and/or data lake architectures.
- Knowledge of financial concepts is helpful but not required.
- Interest in fintech and strong problem-solving and decision-making skills are preferred.
About Addepar
Addepar builds a SaaS platform for wealth and investment management firms to aggregate portfolio, market and client data, analyze holdings, and produce client reporting. The company sells software and data integrations used across investment operations, with APIs and a broad partner ecosystem to plug into other tools. Founded in 2009 and headquartered in New York, it is privately held and used by over a thousand firms globally to manage trillions in assets.