Base Salary
$204k - $290k/yr
Responsibilities
- Define and drive the long-term technical roadmap for Affirm’s Lakehouse Platform across Apache Iceberg, Spark, Snowflake, and cloud-native storage.
- Architect and implement secure, trustworthy, discoverable, and usable analytical data platform capabilities.
- Design and operate auditable data access controls, including RBAC, dynamic data masking, cataloging, lineage, classification, and privacy policy enforcement.
- Partner with Analytics Engineering to improve data modeling, transformation pipelines, testing, documentation, and data quality practices.
- Establish lakehouse operational practices for schema evolution, table maintenance, partitioning, compaction, observability, incident response, production support, and on-call readiness.
- Optimize analytical compute and storage through warehouse tuning, query optimization, storage layout, lifecycle management, cost attribution, and operational efficiency.
- Collaborate with infrastructure, analytics, machine learning, BI, product engineering, and SRE teams to develop durable platform architecture.
- Track trends in lakehouse architecture, open table formats, analytical compute, governance, privacy engineering, semantic layers, agentic data tools, and AI-ready data infrastructure.
- Mentor engineers, raise technical quality, and foster an inclusive culture of design rigor, operational excellence, and continuous learning.
Requirements
- 8+ years of experience in software engineering, data infrastructure, or data platform engineering.
- 2+ years of technical leadership responsibilities and hands-on experience leading teams building critical data infrastructure.
- Proven experience architecting, building, launching, and operating large-scale OLAP systems, lakehouse platforms, or analytical data infrastructure.
- Hands-on experience with Snowflake or comparable analytical data warehouses, including access controls, data masking, query optimization, and cost management.
- Strong experience with Apache Iceberg, Spark, and cloud-native data lake architectures.
- Experience with dbt or equivalent transformation frameworks, including data modeling, testing, documentation, and CI/CD practices.
- Proficiency in Python, SQL, or JVM-based languages and the ability to build clean, maintainable, production-quality systems.
- Familiarity with Terraform or similar infrastructure automation tools.
- Experience with data governance, lineage, classification, privacy controls, policy enforcement, observability, and data quality practices.
- Experience building or shaping semantic layers, self-service analytics platforms, internal data applications, or AI-enabled data tools.
- Ability to set technical direction, lead ambiguous platform initiatives, mentor engineers, influence roadmaps, and communicate effectively with technical and non-technical stakeholders.
- Equivalent practical experience or a bachelor’s degree in a related field.
Benefits
- Remote-first work arrangement within the country of employment, with occasional office requirements for proximal roles.
- 100% company-paid medical, dental, and vision coverage for employees and dependents.
- Flexible spending stipends for technology, food, lifestyle, and family-forming expenses.
- Competitive vacation and holiday schedules.
- Employee stock purchase plan (ESPP).
- Reasonable interview accommodations are available.
Tech Stack
Categories
About Affirm
At Affirm, we’re using today’s technology to bring significant disruptive innovation to the financial industry. We focus on improving the lives of consumers by delivering simple, honest and transparent financial products. We have roles across a variety of teams, including engineering, product, finance, operations, revenue, marketing, people and more. A note to applicants: Fake job and recruiting scams are on the rise. Affirm will never ask you to pay any upfront fees or send you any checks to purchase equipment during any part of the recruiting process. Affirm only uses legitimate company email address domains (either “@affirm.com” or "@us.greenhouse-mail.io”) to communicate with candidates via email. Affirm is also proud to be a remote-first company! Attracting great people starts by finding talent in different places. That's why we built remote work into the DNA of how we do business—but if an office space is more your style, we have offices in Chicago, New York City, Pittsburgh, San Francisco, Seattle, Toronto, Warsaw, Madrid and London. Not to mention we have comprehensive and award-winning benefits that were made for you. Interested in learning more? Check out our careers page and apply today! Visit affirm.com/careers for more information.