Senior Engineering Manager, Data Platform

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.

We’re looking for a Senior Engineering Manager to lead our Core Infrastructure and Services squad. In this role, you’ll oversee data infrastructure, 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 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.

Data Governance

• 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.

Infrastructure & Cloud Management

• Manage SoFi’s 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.

Leadership & Strategy

• 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 3–5 year roadmap for data platform evolution.
• Evaluate and integrate SaaS and open-source solutions.

• Bachelor’s or Master’s 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.