Director Analytics Engineering

Quick Facts

• Role: Director, Analytics Engineering
• Reporting to: VP, Data Analytics
• Work model: Remote within the United States and Canada

Description

Lead the roadmap, architecture, and team responsible for trusted analytics data foundations that power the business and support company-wide decision-making and AI initiatives.

Responsibilities

• Own the vision, roadmap, and execution for analytics engineering, including core data models, semantic layers, BI tooling, and pipeline infrastructure
• Hire, manage, and develop analytics engineers; establish career ladders, leveling expectations, and performance practices
• Set standards for data modeling, testing, documentation, code review, deployment, and data quality
• Stay close to the technical work by reviewing complex dbt models, optimizing SQL, and troubleshooting high-priority pipeline issues
• Act as a senior technical partner on data modeling and metric governance to ensure consistent, trusted, and well-documented metric definitions
• Partner with Data Engineering, Analytics, Finance, Marketing, Product, and GTM leaders to turn business needs into a prioritized roadmap
• Build governed, reliable data foundations that support AI initiatives and Generative BI experiences

Requirements

• Significant experience in data engineering, analytics engineering, or data architecture, including leading and developing teams
• Strong SQL and dbt experience: advanced data modeling, incremental processing, testing, documentation, and multi-environment deployment
• Deep dimensional modeling knowledge (Kimball or star schema approaches) in complex B2B SaaS environments
• Experience with modern cloud data warehouses (Snowflake, Databricks, BigQuery, or Redshift), including performance, cost, and scale decisions
• Experience establishing semantic layer strategies and trusted metric definitions across an organization
• Ability to translate complex business priorities into a clear data platform roadmap and communicate with senior stakeholders

Preferred

• Experience with CI/CD
• Orchestration tools: Airflow, Dagster, or Prefect
• AI-assisted analytics engineering workflows

Benefits

• Immediate participation in benefits program (health, dental, 401k/RRSP and many others)
• Generous paid time off
• Equity grant
• Where applicable, participation in incentive programs
• Health and wellbeing support (including maternity and parental leave top-up)
• Growth: RSU program for most employees; retirement matching
• Free 1Password account
• Community: paid volunteer days; peer-to-peer recognition via Bonusly
• Remote-first work environment
• Background check required (may include employment verification, references, education confirmation, criminal background, social media, and credit history as permitted by local law)