Senior Engineering Manager, Data Platform (San Francisco)
Join to apply for the Senior Engineering Manager, Data Platform role at SoFi
Join to apply for the Senior Engineering Manager, Data Platform role at SoFi
This range is provided by SoFi. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.
Base pay range
$172,800.00/yr - $297,000.00/yr
Employee Applicant Privacy Notice
Who we are: Shape a brighter financial future with us. Together with our members, were changing the way people think about and interact with personal finance. Were 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 were at the forefront. Were proud to come to work every day knowing that what we do has a direct impact on peoples 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 At SoFi, data is at the heart of every decision. We prioritize data privacy, security, and governance to maintain the trust of our members and meet strict regulatory standards. Our Data Platform team powers that mission building scalable infrastructure, enabling self-service, and delivering trusted data to every corner of the company. Were looking for a Senior Engineering Manager to lead our Core Infrastructure and Services squad. In this role, youll oversee data infrastructure, platform services, and governance initiatives from integrating diverse data sources into governance tools to evolving the foundational architecture that supports SoFis long-term growth. What Youll Do Data Platform Services- Automate at Scale Drive automation and self-service for governance, quality, and metadata to improve velocity and reduce operational overhead.
- Streamline Ingestion Unify data ingestion across real-time, batch, and CDC patterns for reliable, consistent entry into the platform.
- Future-Proof Design and evolve platform architecture for scalability, flexibility, and long-term growth.
- Build Trust Implement monitoring, validation, and quality frameworks to ensure data is accurate, fresh, and compliant.
- Enhance Discovery Improve metadata, lineage, and visibility so teams can find and understand data quickly.
- Integrate sources like Postgres, S3, and DynamoDB into governance tools (Alation, Collibra).
- Define and enforce governance policies in partnership with stakeholders.
- Lead the development of metadata management and data quality capabilities.
- Manage SoFis data infrastructure (SDP), ensuring high availability and scalability.
- Oversee Terraform Cloud for IaC automation.
- Handle Snowflake RBAC and enforce secure data access.
- Monitor Snowflake & AWS costs, implementing optimization strategies.
- Mentor engineers, promote best practices, and foster a culture of learning and innovation.
- Partner cross-functionally with product, ML, analytics, and compliance teams. Develop a 35 year roadmap for data platform evolution.
- Evaluate and integrate SaaS and open-source solutions.
- Bachelors or Masters in Computer Science or related field (or equivalent experience).
- 10+ years in data engineering, infrastructure, or similar roles.
- 5+ years leading engineering teams in cloud-first environments.
- Proven experience with Snowflake, BigQuery, or Redshift including architecture, security, and optimization.
- Strong background in AWS (S3, EMR, Lambda, ECS/EKS) and IaC (Terraform, AWS CDK, Helm).
- Expertise in ingestion/streaming (Kafka, DMS, Flink), orchestration (Airflow, dbt), governance (Great Expectations, Monte Carlo), and security/compliance frameworks.
- Experience with open table formats (Apache Iceberg, Delta Lake).
- Familiarity with feature stores, ML pipelines, or vector databases.
- Performance engineering expertise (query optimization, caching, workload isolation).
- Track record of driving adoption of governance frameworks and platform modernization at scale.
Seniority level
Seniority level
Not Applicable
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information Technology
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