Director Analytics Engineering
Leads the analytics engineering function, owning data architecture, modeling standards, semantic layers, governance, and roadmap execution while managing and developing the team. The role requires deep SQL and dbt expertise, dimensional modeling experience, cloud data warehouse knowledge, and strong senior-stakeholder communication.
About the job
Responsibilities
- Own the vision, roadmap, and execution for the analytics engineering function, including core data models, semantic layers, business intelligence 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.
- Review complex dbt models, optimize SQL, and troubleshoot high-priority pipeline issues.
- Serve as a senior technical partner on data modeling and metric governance.
- Partner with Data Engineering, Analytics, Finance, Marketing, Product, and go-to-market teams to prioritize the roadmap.
- Build governed data foundations supporting company-wide decision-making, artificial intelligence initiatives, and generative business intelligence experiences.
Requirements
- Significant experience in data engineering, analytics engineering, or data architecture, including experience leading and developing teams.
- Strong SQL and dbt experience, including advanced data modeling, incremental processing, testing, documentation, and multi-environment deployment.
- Deep knowledge of dimensional modeling, including Kimball or star schema approaches, in complex B2B SaaS environments.
- Experience with modern cloud data warehouses such as 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 effectively with senior stakeholders.
Nice-to-haves
- Experience with CI/CD.
- Experience with orchestration tools such as Airflow, Dagster, or Prefect.
- Experience with AI-assisted analytics engineering workflows.
Compensation and Benefits
- USA-based roles: annual base salary of $204,000 USD to $306,000 USD.
- Canada-based roles: annual base salary of $200,000 CAD to $300,000 CAD.
- Benefits may include health, dental, 401(k) or RRSP, paid time off, equity, and applicable incentive programs.
Skills
SQL, dbt, Dimensional Modeling, Kimball, Star Schema, Snowflake, Databricks, BigQuery, Amazon Redshift, Semantic Layer, CI/CD, Apache Airflow, Dagster, Prefect, Data Governance
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