Affirm

Affirm

Staff Software Engineer, Backend (Lake Analytics Platform)

Remote US · Staff+

Sponsorship not specified$230k-$290kDetected 6 days ago
PythonSQLSnowflakeTerraformCI/CDSite Reliability EngineeringPlatform EngineeringRESTMachine LearningSparkdbtIncident ResponseAccessibilityLeadershipCommunicationCollaboration

About the role

  • Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
  • Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business.

Responsibilities

  • Influence technical strategy: Define and drive the long-term technical roadmap for Affirm's Lakehouse Platform across Apache Iceberg, Spark, Snowflake, and cloud-native storage, balancing scalability, reliability, governance, performance, and cost.
  • Improve analytics engineering foundations: Partner with Analytics Engineering to evolve data modeling, transformation pipelines, testing frameworks, documentation standards, and data quality practices that enable trustworthy self-service analytics.
  • Operate at scale: Establish best practices for lakehouse operations, including schema evolution, table maintenance, partitioning, compaction, observability, incident response, production support, and readiness for on-call operations.
  • Optimize performance and cost: Identify and execute improvements across analytical compute and storage, including Snowflake warehouse tuning, query optimization, storage layout, lifecycle management, cost attribution, and operational efficiency.
  • Lakehouse Platform Expertise: Proven experience architecting, building, launching, and operating large-scale OLAP systems, lakehouse platforms, or analytical data infrastructure using technologies such as Apache Iceberg, Spark, Snowflake, and cloud-native storage.
  • Agentic Data Tools: Experience building or shaping semantic layers, self-service analytics platforms, internal data applications, or AI-enabled data tools that improve data accessibility and usability.
  • Technical Leadership: Demonstrated ability to set technical direction, lead ambiguous platform initiatives, mentor engineers, and influence roadmaps across teams while staying close to implementation details.
  • Establish best practices for lakehouse operations, including schema evolution, table maintenance, partitioning, compaction, observability, incident response, production support, and readiness for on-call operations.
  • Hands-on experience leading teams to build critical data infrastructure.
  • We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

Requirements

  • Snowflake / Analytical Warehouses: Hands-on experience with Snowflake or comparable analytical data warehouses, including access control, data masking, query optimization, and cost management.
  • Analytics Engineering: Experience with dbt or equivalent transformation frameworks, including data modeling, testing, documentation, and CI/CD practices.
  • Programming Skills: Proficiency in Python, SQL, or JVM-based languages, with a strong emphasis on clean, maintainable, production-quality systems.
  • Hands-on experience with Snowflake or comparable analytical data warehouses, including RBAC, dynamic data masking, warehouse optimization, query profiling, clustering, and cost management.
  • Experience with dbt or similar transformation frameworks, data modeling best practices, testing, documentation, CI/CD, and data quality practices for analytical pipelines.
  • 8+ years of experience in software engineering, data infrastructure, or data platform engineering, with 2+ years of technical leadership responsibilities.
  • Hands-on experience with Snowflake or comparable analytical data warehouses, including access control, 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.
  • Hands-on Leadership: Hands-on experience leading teams to build critical data infrastructure.
  • Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
  • Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

Skills

  • Proficiency in Python, SQL, or JVM-based languages, with a strong emphasis on clean, maintainable, production-quality systems.
  • Lakehouse and Big Data: Strong experience with Apache Iceberg, Spark, and cloud-native data lake architectures.
  • Programming
  • Infrastructure as Code: Familiarity with Terraform or similar automation tools for managing data infrastructure.
  • Education: This position requires equivalent practical experience or a Bachelor's degree in a related field.
  • Base Pay Grade - P
  • Equity Grade - 13
  • Employees new to Affirm typically come in at the start of the pay range.
  • USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000
  • USA base pay range (all other U.S. states) per year: $204,000 - $264,000
  • Affirm is proud to be a remote-first company!
  • A limited number of roles remain office-based due to the nature of their job responsibilities.

Compensation

  • Employees new to Affirm typically come in at the start of the pay range.
  • Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
  • Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
  • USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000
  • USA base pay range (all other U.S. states) per year: $204,000 - $264,000

Benefits

  • Design and develop: Architect and implement platform capabilities that make analytical data secure, trustworthy, discoverable, and easy to use across Affirm's engineering, analytics, machine learning, and business teams.
  • Build teams: Mentor engineers, raise technical quality, and foster an inclusive culture of design rigor, operational excellence, and continuous learning.
  • Collaboration: Strong ability to partner with engineering, analytics, machine learning, BI, product, and infrastructure teams to translate business needs into durable technical solutions.
  • Partner with Infrastructure, Lakehouse Analytics, Analytics Engineering, Machine Learning, BI, Product Engineering, and SRE to translate stakeholder needs into durable platform architecture.
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This listing is sourced directly from Affirm's careers page and normalized into a canonical job model.