Staff Data Infrastructure Engineer

Qualifications:

• You've built and run data infrastructure that other teams depended on, at meaningful scale, and you've been the person setting direction for it, not just working on it.
• Deep experience with change data capture and streaming ingestion from operational databases through Kafka. You know what goes wrong with ordering, duplicates, snapshots, and schema evolution because you've dealt with it.
• Hands-on experience with lakehouse architectures on an open table format. Iceberg on S3 is what we use, so that's especially valuable. You should be comfortable talking about partitioning, compaction, catalogs, and copy-on-write versus merge-on-read.
• Strong Spark skills, and experience running Databricks and Snowflake against shared storage.
• Experience with data quality and observability in practice, including data contracts, SLAs, and tools like Anomalo or Monte Carlo.
• Experience operating Airflow at scale and working with managed ingestion like Fivetran.
• Strong SQL, and good instincts for how to model data so analysts and data scientists can actually use it.
• Solid Python plus at least one of Kotlin, Java, Scala, or Go. Experience shipping infrastructure on AWS with Terraform.
• A working understanding of data governance: access control, PII, retention and deletion, lineage, and audit.
• A track record of leading cross-team data initiatives and migrations, and of mentoring senior engineers.
• You can explain a technical tradeoff to a leadership team and to a new grad, and you can get people who disagree with each other to a decision.
• You take ownership of things that are broken or unowned, and you're willing to be on call for the systems you build.
• Experience in a marketplace, e-commerce, or other transaction-heavy business is a plus.
• Technologies we use and teach:
• Python, Kotlin, SQL
• Kafka, Fivetran, Airflow
• S3, Apache Iceberg, Snowflake, Databricks, Apache Spark
• AWS, Terraform, Kubernetes
• CockroachDB, MySQL, Scylla and DynamoDB
• Salary range:
• Canada: the pay range for this role is $216,000 to $297,000 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)