Senior Platform Analytics Engineer

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. 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. The Analytics Platform team builds capabilities to accelerate data‑driven analytics, improve productivity and accuracy at Faire. Its mandate is to reduce time from data to insights. The Team Focuses On The Following Areas And Capabilities Data warehousing optimization, including performance, efficiency, cost Capabilities for data quality, metadata enrichment, lineage, privacy Tooling and capabilities to accelerate productivity of analytics subject matter experts; automation of analytics functions Development patterns and practices for foundational assets Elements of data security, privacy, and governance The team also owns relationships with select infrastructure vendors. We’re Looking For An experienced analytics engineer who can develop and deliver technical projects and engage with other teams in the organization. What You’ll Do Partner with key internal customers of the analytics function across business verticals, Strategy, Finance, and others to develop capabilities based on their needs Improve development patterns and guide the broader analytics function on evolution of foundational datasets Lead technical execution in building scalable data models and pipelines for key domains, defining architecture, feature requirements, roadmaps Tackle challenges of data quality, integrity, relevance, and other analytics related concerns, for accurate and reliable insights Plan and execute technology projects that scale with our growth; contribute to our architecture with a focus on analytics Engage with team planning and prioritization, balancing urgent and near‑term needs with long‑term goals Provide technical guidance and mentorship on difficult open‑ended problems Qualifications Strong SQL and Python skills and demonstrated competencies in designing well‑architected data models and optimizing query performance Experience building and evolving platform/foundational datasets and enabling other business functions that consume them Analytics engineering experience focusing on data modeling, large‑scale data processing, and tool development for analytics or data science use cases Experience with Airflow, dbt or similar analytics workflow tools; Snowflake experience especially valuable Knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms Data warehousing experience at petabyte scale Understanding of performance, capacity, cost trade‑offs in data processing systems Strong communication skills A bachelor’s degree in Computer Science / Engineering or equivalent industry experience Technologies We Use And Teach AWS Snowflake Airflow Spark Python Kotlin Salary Range San Francisco: the pay range for this role is $196,000 - $269,500 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Work Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Hybrid in‑office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Benefits Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. EEO Statement Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form ( Privacy Notice For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice ( #J-18808-Ljbffr Faire Inc