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About the Role

SoFi's ability to deliver trusted member experiences, manage risk, meet regulatory obligations, and scale enterprise AI depends on data that is reliable, governed, understandable, and available when it is needed. As a Principal Software Engineer in the Data Platform Group, you will provide hands-on technical leadership within the Data Trust pillar. Working alongside the Senior Manager and other Principal Engineers, you will design, build, and operate the distributed systems and reusable platform primitives that make data quality, privacy, metadata, lineage, access, and reliability enforceable by construction across the enterprise.

Responsibilities

Define and execute the technical direction for data contracts, metadata and catalog modernization, lineage, data quality, privacy, and access controls.
Translate business, regulatory, and engineering requirements into a coherent platform strategy and sequence investments for long-term impact.
Build platform services, libraries, and reference patterns that make contracts, quality rules, privacy policies, and access requirements versioned, testable, observable, and automatically enforceable across the data lifecycle.
Establish the technical foundations for a governed semantic context layer that connects business definitions, metadata, lineage, ownership, quality, freshness, and access policy.
Enable trusted discovery, analytics, and AI-assisted or agentic experiences without turning this role into a model-development function.
Lead the evolution of Data Trust capabilities across Snowflake, AWS data services, Kafka-based ingestion, and other batch or low-latency environments.
Establish explicit SLOs, failure modes, correction paths, and operational ownership, supported by automated detection, containment, remediation, and recovery.
Raise the standard for production data systems through observability, integrity checks, audit evidence, incident learning, and safe automation.
Help move the organization from reactive troubleshooting and manual compliance activity toward proactive, measurable control.
Drive multi-quarter initiatives across teams and functions, earning alignment on difficult architectural tradeoffs and investment decisions.
Serve as a trusted technical authority for Data Trust while mentoring senior engineers, strengthening design and implementation practices, and raising the broader engineering bar.

Requirements

15+ years of software or data engineering experience (or 13+ years with a Master’s degree) with a proven track record of designing, building, and operating distributed data platforms at enterprise scale.
Deep experience designing horizontal, multi-tenant platform services that other engineering teams depend on.
Understand the failure modes of distributed systems, eventual consistency, and how to balance latency, availability, and cost.
Practical, battle-tested experience building or managing components of the modern data trust stack, such as data contracts, metadata catalogs, data quality frameworks, end-to-end lineage, and fine-grained access control (RBAC/ABAC).
Advanced knowledge of modern data ecosystems, specifically Snowflake, Kafka (or similar streaming platforms), and AWS data services.
Know how to govern data in motion just as effectively as data at rest.
Mastery of one or more core programming languages (e.g., Python, Java, Go) and advanced SQL.
Comfortable writing production-grade code, conducting rigorous code reviews, and building declarative infrastructure (Terraform, CI/CD).
A history of successfully driving multi-team, cross-functional technical initiatives.
Know how to build consensus across Engineering, Security, Privacy, and Product teams, translating compliance and risk requirements into frictionless engineering primitives.
Experience managing Tier-0/mission-critical infrastructure.
Build systems with a "trust but verify" mindset—relying on automated testing, drift detection, and circuit breakers rather than manual processes.
Prior experience operating in a highly regulated environment where auditability, data privacy (CCPA/GDPR), and data integrity are architectural requirements, not afterthoughts.
Experience building semantic layers, knowledge graphs, or context engines that ground LLMs and autonomous agents in governed enterprise data.
Contributions to relevant open-source data or metadata projects (e.g., Apache Iceberg, OpenMetadata, DataHub, Amundsen).

Skills

Data contracts
Metadata catalog
Data quality frameworks
End-to-end lineage
Fine-grained access control (RBAC/ABAC)
Snowflake
Kafka
AWS data services
Python
Java
Go
SQL
Terraform
CI/CD
CCPA/GDPR
Semantic layers
Knowledge graphs
Context engines

Location

Remote (excluding Hawaii, Alaska or Puerto Rico)

Work Type

Full-time

Experience Level

Principal
15+ years of software or data engineering experience
13+ years of software or data engineering experience with a Master's degree

Education Level

Master's degree

Benefits

Comprehensive and competitive benefits

About the Company

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.

Equal Opportunity

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture.
As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities.
If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.