Senior Platform Analytics Engineer

Faire•San Francisco, CA

2d•$192,000 - $264,000•Hybrid

About The Position

Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. 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 that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. 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. 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. 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 to work alongside our highly talented team, develop and deliver technical projects, and engage with other teams in the organization.

Requirements

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 with a focus 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

Responsibilities

Partner with key internal customers of the analytics function across business verticals, Strategy, Finance, 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 on 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.

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