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.

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.

What you’ll do:

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.

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 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

Technologies we use and teach:

Snowflake

Airflow

Spark

Python

Kotlin

Salary range:

Canada: the pay range for this role is $160,000 - $220,000 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as 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 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). Additionally, 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.

Why you’ll love working at Faire

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.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

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 (https://bit.ly/faire-form)

Privacy

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 (https://www.faire.com/privacy)

Senior Platform Analytics Engineer

Job Description