Faire
Technology
SeniorStaffDataEngineer-PlatformDataandAnalytics
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Staff Data Engineer - Platform Data and Analytics at Faire. Skills: Data Engineering, Data Architecture, SQL, Python. Build and operate data ingestion platform. Build and operate data warehousing capabilities”
What You'll Achieve.
Ensure secure, reliable, cost-efficient platform; Achieve excellent availability and performance; Achieve data integrity; Ensure data security; Ensure data privacy; Ensure data governance; Optimize workload performance; Optimize workload cost
Industry & Context.
Problem solving; Analytical skills
What They're Looking For.
Must Have
Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale, Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows, SQL and Python skills and experience, Data warehousing experience at Petabyte scale, Understanding of performance, capacity, cost trade-offs in data processing systems, Experience in guiding technical and product teams on such trade-offs, Experience diagnosing, mitigating, and permanently addressing data system production issues at scale, Experience rolling out patterns for workload performance and cost optimization, Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people, Enabling teams to operate in a self-serve model, Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience
Nice to Have
Snowflake, Airflow, Spark experience especially valuable, Excellent communication, leadership, and influencing skills
What You'll Do.
Build and operate data ingestion platform
Build and operate data warehousing capabilities
Build foundational data assets
Build tools for analytics
Reduce time from data to insights
Lead architecture development
Provide technical guidance
Mentor on complex problems
How You'll Work.
Team & Collaboration
Influence and interact with data functions; Work closely with Data Science; Work with Product Management; Work with Strategy; Work with Analytics; Work with Finance; Guide technical teams; Guide product teams
Communication Scope
Communication; Leadership; Influencing
Process & Methodology
Engage with team planning, Prioritization
Full Job Description
About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance. This role is for a highly experienced technical leader in the data space, whose influence spans multiple Platform and Product groups. Within the Platform group: The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance. The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from
Applying for this Senior Staff Data Engineer - Platform Data and Analytics role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Faire?
Real rants from real employees. Read before you apply.