3 hours ago
Base Salary
$156k - $280k/yr
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 high-volume ingestion pipelines supporting batch pulls, file drops, APIs, streaming, arbitrary schemas, schema changes, and backfills.
- Build event-driven, fault-tolerant activation pipelines that deliver recommendations reliably, recover from partial failures, and prevent duplicate delivery.
- Design multi-region systems that address data residency, PII handling, and compliance requirements.
- Own production systems, including Datadog instrumentation, on-call participation, incident response, and root-cause analysis.
- Work 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 review practices.
Requirements
- 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 setting direction for other engineers.
- Experience building large-scale data pipelines or integrations that handle schema changes, backfills, and partial failures.
- Strong understanding of event-driven architecture, 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.
- Clear communication and effective collaboration with engineering, data science, and product teams.
- Self-directed approach to identifying problems and overcoming obstacles.
- Preferred experience with BigQuery, Snowflake, or Redshift; Braze, Adobe, Salesforce Marketing Cloud, or Klaviyo integrations; multi-region systems under data residency and compliance requirements; or production ML systems.
Benefits
- Base compensation and potential equity, including restricted stock units.
- Retirement and Employee Stock Purchase Plans.
- Flexible paid time off and comprehensive medical, dental, vision, life, and disability benefits.
- Fertility benefits and equal paid parental leave.
- Professional development through career pathing, learning platforms, and an annual learning stipend.
- Hybrid work arrangement with a curated in-office experience.
- Volunteer Week, donation matching, and Employee Resource Groups.
- Collaborative culture recognized as a Great Place to Work®.
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.