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

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 infrastructure on AWS or similar cloud platforms.

Senior Software Engineer – Data Control Frameworks

Key skills