Note: The job is a remote job and is open to candidates in USA. SoFi is a next-generation financial services company and national bank using innovative, mobile-first technology to help members reach their financial goals. The Staff Risk AI & Data Engineer will lead a high-performing engineering pod, focusing on scaling modern data platforms and driving AI-enabled engineering practices across the Risk Data organization.
Responsibilities
- Lead, mentor, calibrate, and upskill a high-performing pod of data engineers while raising the technical and operational bar across the broader Risk Data organization
- Conduct regular skills assessments, identify development gaps, and create targeted growth plans to strengthen engineering capabilities and support long-term succession planning
- Establish measurable ownership frameworks, delivery KPIs, and operational standards that improve accountability, scalability, and engineering quality
- Champion AI-native engineering workflows across the organization, including AI-assisted development environments, intelligent alerting and triage systems, automated documentation, and AI-powered operational tooling
- Standardize and optimize engineering and data delivery processes across multiple teams to improve predictability, scalability, and delivery efficiency
- Design and implement scalable frameworks, templates, and standards across onboarding, incident response, semantic layers, dbt modeling, observability, governance, and data validation practices
- Provide technical leadership across Snowflake platform architecture, dbt transformation strategy, Airflow orchestration, AI-enabled workflows, and enterprise-scale data platform governance
- Review and challenge technical strategies, pipeline architectures, and implementation plans to ensure long-term scalability, reliability, compliance, and operational maturity
- Ensure strong governance, security, lineage, observability, and compliance standards across production data systems and AI-enabled workflows
- Serve as the primary technical liaison for strategic vendor and platform relationships, including Snowflake, credit bureau providers, governance tooling vendors, and AI/data platform partners
- Partner with vendors on platform optimization, feature adoption, integration strategy, SLA management, and operational scalability initiatives
- Collaborate closely with platform engineering, infrastructure, compliance, analytics, and model risk teams to align Risk Data initiatives with broader enterprise strategy
- Evaluate emerging AI and data technologies, including AI-powered ETL, intelligent monitoring systems, and LLM-enabled operational tooling, and make strategic build-versus-buy recommendations
- Partner with Product Managers and cross-functional stakeholders to translate complex business and Risk requirements into scalable engineering roadmaps and technical solutions
- Clearly communicate operational health, delivery metrics, technical risks, and engineering strategy to technical and non-technical leadership stakeholders
Skills
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field
- 8+ years of experience in data engineering, platform engineering, or enterprise-scale data infrastructure environments
- 3+ years of experience leading engineering teams, technical pods, or cross-functional technical initiatives
- Deep hands-on expertise with Snowflake, including platform architecture, optimization, governance, performance tuning, and enterprise-scale data platform management
- Strong experience with dbt, including transformation frameworks, semantic layer strategy, testing, and scalable data modeling practices
- Strong programming experience with Python, SQL, and modern data engineering patterns
- Experience with Apache Airflow and production-grade orchestration workflows
- Demonstrated experience leveraging AI tools and AI-assisted workflows to improve engineering productivity, operational efficiency, monitoring, documentation, or incident response
- Strong understanding of governance, observability, compliance, lineage, and access-control best practices across enterprise data environments
- Proven ability to mentor engineers, influence technical direction, drive organizational standards, and scale engineering excellence across teams
- Strong communication and stakeholder management skills with experience partnering across engineering, product, compliance, infrastructure, analytics, and vendor organizations
- Experience within financial services, fintech, lending, or risk management environments
- Familiarity with RAG systems, intelligent agents, or LLM-powered operational tooling
- Experience implementing AI-assisted SDLC or AI-native engineering workflows at scale
- Experience with enterprise governance, lineage, or observability tooling
- Experience managing strategic vendor or platform partnerships
- Familiarity with CI/CD, cloud-native infrastructure, and distributed systems architecture
Benefits
- This role is also eligible for a bonus, long term incentives and competitive benefits.
- To view all of our comprehensiveand competitivebenefits, visit our**[Benefits at SoFi](https://sofietyinfo.sofi.com/sofi-benefits)**page!
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