Senior Software Engineer, Data Trust

Sofi
WA - Seattle; CA - San FranciscoPosted 8 May 2026

Job Description

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role Join us in revolutionizing the financial landscape. SoFi is seeking enthusiastic Senior Software Engineers who are ready to lead the development of key advancement to the next generation of our financial services platform. Data Trust org leads the path for building platform services, and governance initiatives — from integrating diverse data sources into governance tools to evolving the foundational architecture that supports SoFi’s long-term growth Data Trust’s charter includes Development and management of the Unified Data Catalog and Discovery Tools Ownership and other metadata associated with the Catalog Lineage and retention policies Data Quality Strategy and Standardization (Tiered Ownership, SLOs) Enforce regulatory compliance and privacy across data Data Governance enforcement and tooling (Data Contracts, RBAC mechanisms). Building self-service tools for Data Owners and Data Engineers. What You’ll Do As an emerging leader within our team, you will focus on building out the backend services for our next-generation metadata architecture. This role involves full product lifecycle engagement, from initial concept to deployment. Key responsibilities for this role include: Implementing new capabilities, ensuring code quality, and delivering highly-available, scalable services. Success requires close technical collaboration with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be responsible for translating business requirements from these stakeholders into effective technical solutions that provide outstanding value to our members. Leading the technical evolution of one or more key platform subsystems. Expertly leverage existing solution patterns and understand when to differentiate resulting in well-structured, maintainable code. Ability to understand data models, APIs, scaling concerns, and failure modes in order to make effective trade-offs between maintainability and performance. Creating stability by writing meaningful tests, considering observability, and leveraging your ability to debug complex issues across multiple system layers. The ability to create clear design and operational documentation. Contributes to code reviews, is a role model for more junior engineers, and contributes to team efficiency, beyond personal output. What You’ll Need Bachelor's or Master's degree in Computer Science, or Software Engineering 3+ years as a professional, full-time Software Engineer, or similar relevant work experience. Proficient coding in Java, Kotlin, Python or other similar object-oriented programming language. Proficient working with GIT and related CI/CD systems. Experience with public cloud compute, storage, and infrastructure. Experience with any data warehousing solution like Snowflake and IAC tools to provision platform infrastructure. Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks. Deep understanding of relational and document database fundamentals. Deep understanding of fundamental distributed systems concepts. Nice To Have Full-Stack experience in both back-end (Kafka, Redis, Docker) and front-end (JavaScript, TypeScript, React). Experience with microservices design principles and architecture. Experience with workflow orchestration technology ( ... (truncated, view full listing at source)
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