Sr. Software Engineer - Data Control Frameworks

Who We Are

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets.

Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role Engineering is at the core of Addepar, and we are looking to add the best, brightest, and most passionate software engineers to our team.

Our software engineers come from a variety of backgrounds, ranging from Silicon Valley entrepreneurs to finance tech veterans. What they have in common is tremendous talent and dedication to architecting, implementing, and shipping high quality software. The Data Control Frameworks (DCF) team is a critical component of Addepar's Data Platform organization.

We build the data quality infrastructure that ensures the integrity and reliability of financial data across Addepar's platform. Our team develops automated data quality checks, validation frameworks, and operational tools that empower both engineering teams and operations personnel to maintain the highest standards of data accuracy. We partner directly with customers and internal stakeholders to surface data quality issues early and enable rapid corrective action.

We're building the next generation of data quality and governance capabilities at Addepar, and we'd love to have you help architect and build these systems with us. Our work focuses on scalable frameworks with wide-reaching impact across the company. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment.

Please note that visa sponsorship is not available for this role.

What You’Ll Do

Design and build scalable data quality frameworks and validation systems that process financial data at enterprise scale and across diverse datasets Own services end-to-end, from architecture and implementation through deployment and operational support Build tools and interfaces that enable operations teams to efficiently identify, investigate, and resolve data issues Design and deploy resilient, scalable cloud-native infrastructure on AWS using Terraform Collaborate with cross-functional teams including product managers, data engineers, and operations stakeholders to deliver high-impact features Work with modern data processing technologies like pySpark and Databricks to build, validate, and monitor data pipelines Contribute to the broader Data Platform vision of making data discoverable, trustworthy, and actionable across Addepar

Who You Are

Extensive professional software engineering experience Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or other quantitative field, or equivalent practical experience Strong proficiency in Java, Python, and/or a similar object oriented language with demonstrated ability to write high-quality, maintainable code Experience with SQL and database systems (both relational databases like MySQL/PostgreSQL and NoSQL systems like DynamoDB) Proven experience building and operating distributed systems and processing data at scale Strong problem-solving skills with the ability to explore complex problem spaces objectively from multiple perspectives Excellent written and verbal communication skills, with experience collaborating across engineering and non-engineering teams Self-driven and comfortable working in a fast-paced environment where priorities can shift Experience writing Infrastructure as Code to model your designs and deploying cloud-native infrastructur