Senior/Staff Data Engineer

Accountabilities:

• • Set the technical direction for core data platform systems, lead architecture and design decisions, and deliver reliable production infrastructure.
  • Partner with data leadership to shape the platform roadmap and evaluate architectural approaches and build-versus-buy decisions.
  • Build and operate ingestion services, integrations, and data pipelines that deliver accurate and timely information.
  • Establish testing, logging, alerting, and observability as core practices across the data platform.
  • Own workflow orchestration infrastructure, including execution, workers, deployments, upgrades, and operational reliability.
  • Improve warehouse reliability, query performance, cost efficiency, permissions, governance, and overall access management.
  • Partner with Analytics Engineering on warehouse architecture and foundations supporting scalable dbt models.
  • Develop APIs, event-driven ingestion services, and reusable cloud components that connect data systems.
  • Use infrastructure as code to create maintainable infrastructure, reusable modules, and predictable deployments.
  • Establish and improve engineering standards covering version control, CI/CD, testing, documentation, and operational practices.
  • Reduce technical debt and guide the evolution of tooling and platform architecture.
  • Collaborate with analytics engineers, analysts, data scientists, engineering, IT, security, and business stakeholders to clarify requirements and communicate risks, tradeoffs, and timelines.
  • Support data science, analytics, AI, and LLM workflows by preparing model-ready datasets and making features available to downstream systems.
  • Mentor data engineers through code reviews, pairing, design feedback, and technical coaching.

  Requirements:

  • 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, with a track record of setting technical direction and delivering complex data systems.
  • Deep expertise with modern cloud data warehouses such as BigQuery, Databricks, or Snowflake, including data modeling, query performance, cost management, and access control.
  • Strong Python and SQL skills, with hands-on experience developing reliable ingestion and ELT pipelines and maintainable data models.
  • Experience operating workflow orchestration platforms such as Prefect, Airflow, or Dagster, including deployments, upgrades, workers, and operational reliability.
  • Hands-on experience with cloud infrastructure and infrastructure as code, using Terraform or equivalent technologies.
  • Experience building cloud applications or backend services, including APIs, ingestion services, and event-driven workflows.
  • Strong production engineering practices covering testing, logging, alerting, observability, version control, and CI/CD.
  • Demonstrated ability to mentor engineers through coaching, code reviews, pairing, and design feedback.
  • Excellent communication and cross-functional collaboration skills, with the ability to explain technical tradeoffs and build alignment across technical and business teams.
  • Experience using AI-assisted development tools such as Codex, Cursor, or Claude Code while maintaining high standards for correctness and maintainability.
  • Experience with GCP, BigQuery, Segment, and dbt is a plus.
  • Experience working in developer-focused, product-led, sales-led, or usage-based businesses is beneficial.
  • Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products is an advantage.
  • Candidates who do not meet every listed requirement are still encouraged to apply if their experience demonstrates strong potential for the role.

  Benefits:

  • Compensation range of $195,000–$268,000, with offers influenced by experience, transferable skills, business needs, impact, location, and market conditions.
  • Equity opportunities.
  • Remote work options for employees based in Canada.
  • Four weeks of paid vacation.
  • 14 weeks of fully paid parental leave for all parents, including support for returning to work.
  • Employer-sponsored medical coverage and dental and vision coverage, with dependent coverage available according to the applicable plan.
  • Flexible Spending Accounts (FSAs) and Health Savings Accounts (HSAs).
  • Long-term disability and life insurance.
  • 401(k) plans.
  • Monthly lifestyle stipend supporting wellness, mental health, therapy, hobbies, and related needs.
  • Monthly cell phone and internet subsidy.
  • Home office stipend for remote employees.
  • Continuous learning benefits and professional development support.