Senior Manager, Software Engineering (lake Analytics Platform)

Affirm Affirm · Fintech · United States · Remote · Infrastructure Platform Eng

This role leads a team responsible for Affirm's data lakehouse analytics platform, focusing on storage services, data processing systems, and workflow orchestration. It involves managing engineers, defining roadmaps, and ensuring scalability and reliability of data infrastructure.

What you'd actually do

  1. Lead a team of engineers and managers with empathy while fostering a high-performance, ownership-driven & inclusive culture to develop frameworks, systems, and tools for new Affirm products.
  2. Oversee teams managing storage services including relational, key-value, and analytics storage infrastructure and tools at scale.
  3. Understand and drive business and engineering metrics, promoting a culture of reliability, security, and productivity.
  4. Collaborate with tech leads, program managers, and other engineering managers on security, tools, architecture, planning, and delivery of multiple concurrent projects.
  5. Lead technical decisions, projects, and roadmaps within the Lakehouse Analytics, Analytics Engineering and Privacy Engineering teams, shaping Affirm’s strategy for managing and serving orchestration workloads.

Skills

Required

  • Leadership and interpersonal skills
  • Managing diverse and inclusive teams
  • Delivering large cross-functional technical programs
  • Stakeholder management
  • Ownership and successful delivery
  • Managing large-scale, geographically distributed compute and data processing systems
  • Data lake solutions
  • Workflow Orchestration frameworks
  • Scaling frameworks like Snowflake, Spark, Flink, Kafka on Kubernetes
  • Cloud providers like AWS
  • Storage systems such as AWS S3 and Apache Iceberg
  • Mentorship
  • Cross-functional project execution
  • Communication skills

Nice to have

  • Passion for leading technical teams
  • Contributing to Open Source solutions

What the JD emphasized

  • 10+ years of experience in managing multiple diverse and inclusive teams and delivering large cross-functional technical programs.
  • Proven track record in stakeholder management, ownership, and successful delivery.
  • Expertise in managing large-scale, geographically distributed compute and data processing systems, including data lake solutions and Workflow Orchestration frameworks.
  • Expertise in scaling frameworks like Snowflake, Spark, Flink and, Kafka on Kubernetes and cloud providers like AWS, leveraging storage systems such as AWS S3 and Apache Iceberg.