3 hours ago
Responsibilities
- Define and execute technical direction for data contracts, metadata, catalog modernization, lineage, data quality, privacy, and access controls.
- Build versioned, testable, observable, and automatically enforceable platform services, libraries, and reference patterns.
- Establish a governed semantic context layer connecting business definitions, metadata, lineage, ownership, quality, freshness, and access policies for analytics and AI use cases.
- Lead Data Trust evolution across Snowflake, AWS data services, Kafka-based ingestion, and batch and low-latency environments.
- Establish SLOs, failure modes, correction paths, operational ownership, automated detection, containment, remediation, and recovery for production data systems.
- Improve observability, integrity checks, audit evidence, incident learning, and safe automation for mission-critical data infrastructure.
- Drive multi-quarter initiatives across engineering, security, privacy, legal, risk, analytics, and product teams.
- Mentor senior engineers and raise design and implementation standards across the organization.
Requirements
- 15+ years of software or data engineering experience, or 13+ years with a Master's degree, designing, building, and operating enterprise-scale distributed data platforms.
- Deep experience designing horizontal, multi-tenant platform services and understanding distributed-system failure modes, eventual consistency, latency, availability, and cost tradeoffs.
- Battle-tested experience with data contracts, metadata catalogs, data quality frameworks, end-to-end lineage, and fine-grained RBAC/ABAC access control.
- Advanced knowledge of Snowflake, Kafka or similar streaming platforms, and AWS data services across data-in-motion and data-at-rest use cases.
- Mastery of one or more of Python, Java, or Go, along with advanced SQL and production-grade coding and code review experience.
- Experience building declarative infrastructure with Terraform and operating Tier-0 or other mission-critical infrastructure.
- Experience driving multi-team, cross-functional technical initiatives and translating compliance and risk requirements into engineering primitives.
- Experience with automated testing, drift detection, circuit breakers, and other operational controls.
- Preferred experience in fintech or regulated industries, including CCPA/GDPR, auditability, data privacy, and data integrity requirements.
- Preferred experience building semantic layers, knowledge graphs, or context engines grounding LLMs and autonomous agents in governed enterprise data.
- Open-source contributions to data or metadata projects such as Apache Iceberg, OpenMetadata, DataHub, or Amundsen.
Benefits
- SoFi provides comprehensive and competitive benefits through its Benefits at SoFi program.
- Remote work is not accommodated from Hawaii, Alaska, or Puerto Rico.
About SoFi
SoFi provides consumer banking, lending, and investing products, including student-loan refinancing, personal loans, mortgages, checking and savings, a credit card, and brokerage. It earns interest and fee revenue across SoFi Bank, N.A., and related subsidiaries, serving U.S. consumers via a mobile app. Founded in 2011 and headquartered in San Francisco, SoFi Technologies is publicly traded on Nasdaq under the ticker SOFI.