2 hours ago
Toronto, CanadaSenior
Responsibilities
- Lead complex integration projects from design through build and rollout while setting technical direction for the Decisioning Studio integration platform.
- Design and build integrations with cloud data warehouses, customer engagement platforms, and enterprise systems for data ingestion and activation orchestration.
- Build large-scale batch, file-drop, API, and streaming ingestion pipelines that support arbitrary schemas and prevent invalid data from reaching models.
- Build event-driven, fault-tolerant activation pipelines that deliver recommendations reliably, recover from partial failures, and prevent duplicate delivery.
- Design multi-region systems with data residency and PII-handling requirements.
- Own systems in production, instrument them with Datadog, participate in on-call, and drive incidents through root-cause resolution.
- Collaborate with data scientists, ML engineers, and product managers to turn integration requirements into reusable platform capabilities.
- Mentor engineers and improve code quality, testing, and design reviews.
Requirements
- At least 6 years of backend engineering experience building and operating distributed systems in production.
- Demonstrated technical leadership through end-to-end project ownership, architecture decisions, and direction-setting for other engineers.
- Experience building high-volume data pipelines or integrations involving schema changes, backfills, and partial failures.
- Strong understanding of event-driven architecture and reliability patterns, including message brokers, idempotency, retries with backoff, dead-letter handling, and at-least-once versus exactly-once tradeoffs.
- Proficiency in Python and SQL.
- Hands-on experience with cloud infrastructure, preferably GCP, and Kubernetes.
- Experience with AI coding assistants and the judgment to use them appropriately.
- Strong communication and collaboration skills across engineering, data science, and product teams.
- Bonus: experience with BigQuery, Snowflake, Redshift, Braze, Adobe, Salesforce Marketing Cloud, or Klaviyo.
- Bonus: experience building multi-region systems under data residency and compliance requirements or running ML systems in production.
Benefits
- Canadian base pay is listed at CA$186,838–CA$334,740 per year, with additional equity eligibility and a total rewards package.
- Hybrid work arrangement with a curated in-office experience.
- Retirement and Employee Stock Purchase Plans, flexible paid time off, and medical, dental, vision, life, and disability coverage.
- Family services including fertility benefits and equal paid parental leave.
- Professional development through career pathing, learning platforms, and a yearly learning stipend.
- Employee Resource Groups, volunteer opportunities, donation matching, and a collaborative company culture.
Tech Stack
Categories
BackendData Engineering
About Braze
Braze builds a customer engagement platform used by marketing teams to orchestrate cross-channel messaging across mobile, email, web, and more. The company sells its software via SaaS subscriptions with analytics, segmentation, and journey orchestration. Founded in 2011 and headquartered in New York, Braze is a public company (NASDAQ: BRZE) with global offices.