1 month ago
Toronto, CanadaStaff+
Responsibilities
- Set the technical direction and multi-year roadmap for data movement from production systems to analytical stores.
- Build CDC and streaming ingestion from CockroachDB and MySQL through Kafka into Iceberg tables on S3, including ordering, deduplication, late data, schema changes, and backfills.
- Implement data contracts, quality checks, dataset ownership, and SLAs across the data platform.
- Operate Airflow and Fivetran and evaluate which platform capabilities to buy versus build.
- Own platform reliability through SLOs, on-call support, incident reviews, and corrective follow-through.
- Lead migration of existing pipelines and collaborate with senior engineers, data scientists, and analysts.
- Mentor engineers and improve the team’s data engineering practices.
Requirements
- Experience building and operating data infrastructure that other teams depend on at meaningful scale, including setting technical direction.
- Deep experience with change data capture and streaming ingestion from operational databases through Kafka.
- Hands-on experience with lakehouse architectures and open table formats, especially Iceberg on S3, including partitioning, compaction, catalogs, and copy-on-write versus merge-on-read.
- Strong Spark skills and experience running Databricks and Snowflake against shared storage.
- Practical experience with data quality, observability, data contracts, SLAs, and tools such as Anomalo or Monte Carlo.
- Experience operating Airflow at scale and using managed ingestion platforms such as Fivetran.
- Strong SQL, data modeling skills, solid Python, and proficiency in at least one of Kotlin, Java, Scala, or Go.
- Experience shipping AWS infrastructure with Terraform.
- Working knowledge of data governance, including access control, PII, retention and deletion, lineage, and audit.
- Track record of leading cross-team data initiatives and migrations and mentoring senior engineers.
- Ability to communicate technical tradeoffs across leadership and engineering audiences, drive decisions, and take ownership of on-call systems.
- Experience in marketplace, e-commerce, or another transaction-heavy business is preferred.
Benefits
- Base pay range in Canada is $216,000 to $297,000 per year, plus equity and benefits.
- Hybrid employees work in the office three days per week on Tuesdays, Thursdays, and one flex day on Monday, Wednesday, or Friday.
- Hybrid employees may work remotely for up to four weeks per year.
- Benefits include comprehensive benefits, competitive pay, equity, professional growth, and access to enterprise AI tools.
Tech Stack
Amazon DynamoDBApache AirflowApache KafkaApache SparkAWSDatabricksGoJavaKotlinKubernetesMySQLPythonScalaSnowflakeSQLTerraform
Categories
Data Engineering
About Faire
Faire builds a B2B wholesale marketplace that connects independent retailers with consumer brands for product discovery, ordering, and net terms. It monetizes through marketplace commissions and financial services, and provides tools for payments, returns, and analytics to help shops source inventory. Founded in 2017 and headquartered in San Francisco, it operates across North America and Europe and is privately held.