Affirm
Financial Services
SeniorStaffSoftwareEngineer,Backend(DataandStorageServices)
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“Senior Staff Software Engineer, Backend (Data and Storage Services) at Affirm. Skills: Snowflake Expertise, Lakehouse Architecture, Analytics Engineering, Data Governance & Privacy, Collaboration, Mentorship, Innovation. Architect and evolve Affirm's lakehouse analytics platform. Design and implement robust Role-Based Access Control (RBAC) and dynamic data masking policies in Snowflake”
What You'll Achieve.
Deliver scalable, high-performance analytical infrastructure; Ensure data access is secure, compliant, and auditable across the organization; Enable trustworthy, self-service analytics; Manage data cataloging, lineage, classification, and policy enforcement; Optimize analytical compute and storage footprint; Provide continuous guidance on design, architecture, and best practices; Improve our data offerings
Industry & Context.
Exceptional problem-solving and analytical skills, with the ability to identify and resolve complex technical challenges and establish long-lasting solutions and processes
Participate in an on-call rotation
What They're Looking For.
Must Have
10+ years of experience in software engineering or data engineering, Proven track record of delivering complex data platform solutions that improve accessibility, performance, and governance of analytics infrastructure, 6+ years of hands-on experience with Snowflake or comparable analytical data warehouses, including RBAC design, data masking, query optimization, and cost management, Experience with Apache Iceberg, Spark, and cloud-native data lake architectures on AWS (S3, EKS), Experience with dbt or equivalent transformation frameworks, including data modeling best practices, testing, and CI/CD for data pipelines, Exceptional problem-solving and analytical skills, with the ability to identify and resolve complex technical challenges and establish long-lasting solutions and processes, Proficiency in Python and SQL, with a emphasis on clean, maintainable code, Demonstrated leadership and mentorship skills, with the ability to inspire and guide others, You can also work cross-functionally addressing technical challenges and influencing roadmaps outside your direct area of ownership, You drive innovation in the platforms you build and operate, Excellent communication and interpersonal skills, with the ability to clearly articulate technical ideas to both technical and non-technical audiences, Bachelor’s degree in a related field
Nice to Have
Experience with Kotlin or Go is a plus, Experience contributing to open-source projects, Familiarity with automation tools like Terraform for managing data infrastructure
What You'll Do.
Architect and evolve Affirm's lakehouse analytics platform
Design and implement robust Role-Based Access Control (RBAC) and dynamic data masking policies in Snowflake
Lead the technical direction of analytics engineering practices
including data modeling
transformation pipelines (dbt)
and data quality frameworks
Drive data governance and privacy engineering initiatives
leveraging tools like Atlan
Identify and execute cost optimization strategies across Affirm's analytical compute and storage footprint
Establish and champion best practices for lakehouse operations at scale
Stay ahead of industry trends in analytical data platforms
and privacy technologies
Mentor engineers across the Lake Analytics Platform and Analytics Engineering teams
Participate in an on-call rotation and collaborate with other teams such as SRE to resolve production issues
and maintain core components of Affirm's lakehouse analytics platform
with a focus on scalability
How You'll Work.
Team & Collaboration
Collaborate with other teams — including Product, Infrastructure, Lakehouse Infra, Lakehouse Analytics and Analytics Engineering; Collaborate with product engineering, data science, and business intelligence teams to understand their data needs and provide continuous guidance; Collaborate with fellow engineers to deliver high-quality data infrastructure; Work closely with product managers, software engineers and analysts to translate business requirements into technical solutions; Work cross-functionally addressing technical challenges and influencing roadmaps outside your direct area of ownership; Collaborate with other teams such as SRE to resolve production issues
Communication Scope
Excellent communication and interpersonal skills, with the ability to clearly articulate technical ideas to both technical and non-technical audiences
Full Job Description
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. Affirm's engineering team is building a large-scale, highly-available, and global infrastructure that is shared across multiple financial products. Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis. The Data and Storage Services team is responsible for handling all of Affirm's Data (OLAP and OLTP) requirements and encompasses the entire range from critical online checkout databases all the way to our Batch Orchestration, Streaming Infrastructure, Event Driven Frameworks, BI and analytics tools and systems. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The Data Services organization encompasses the Lake Analytics Platform and Analytics Engineering teams. Our platform powers Affirm's analytical data ecosystem — from the lakehouse and query infrastructure that stores and serves data at scale, to the transformation and modeling layers that make data trustworthy and accessible to the business. We are responsible for Snowflake, FiveTran, Atlan, MonteCarlo, dbt, data governance, privacy controls, and the tooling that enables self-service analytics with an AI focused mindset across the company. What you’ll do As a member of the Data and Storage Services organization, you will collaborate with other teams — including Product, Infrastructure, Lakehouse Infra, Lakehouse Analytics and Analytics Engineering to: Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analyt
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