Senior Manager, Software Engineering (Lake Analytics Platform)

Affirm is reinventing credit to make it more honest and friendly, and they are seeking an experienced Engineering Leader to lead their growing Data and Storage Services organization. The role involves managing teams, delivering technical roadmaps, and providing leadership and growth opportunities while overseeing storage services and collaborating with various stakeholders.

Responsibilities:

• 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
• Oversee teams managing storage services including relational, key-value, and analytics storage infrastructure and tools at scale
• Understand and drive business and engineering metrics, promoting a culture of reliability, security, and productivity
• Collaborate with tech leads, program managers, and other engineering managers on security, tools, architecture, planning, and delivery of multiple concurrent projects
• Work across the engineering organization and with internal and external partners
• Provide leadership and growth opportunities to team members, mentor engineers, recruit, and represent Affirm hiring brands
• 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
• Collaborate with peers, leadership, and stakeholders across platform engineering and product engineering organizations
• In collaboration with tech leads, develop a multi year roadmap to design and implement frameworks, services, and tools for new Affirm products and business needs
• Guide, tutor, and aid in the professional growth of junior and senior engineers within the team

Requirements:

• Solid leadership and interpersonal skills
• 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
• Capable of mentorship, cross-functional project execution, and individual contribution
• Strong interpersonal, written, and verbal communication skills with a growth mindset
• Experience in the data infrastructure domain and a passion for leading technical teams and contributing to Open Source solutions
• Bachelor's degree in Computer Science, related technical field, or equivalent practical experience