Senior Analytics Engineer

Responsibilities

• Lead design of complex analytics domains; standardize patterns and conventions across projects.
• Establish modeling standards for marts/semantic layers that maximize reuse and minimize ambiguity.
• Define and maintain metric/KPI governance practices.
• Develop reusable macros and shared packages to standardize common modeling patterns.
• Define and enforce testing strategies (coverage, severity, release gates) and documentation conventions.
• Implement CI/CD checks for analytics models (build/test/docs) and enforce review discipline.
• Partner with business stakeholders to validate definitions and ensure analytics deliver measurable value.
• Mentor analytics engineers and review work for correctness, maintainability, and clarity.
• Drive adoption of documentation, lineage, and discoverability practices to reduce support load.

• In depth experience with dbt Cloud or dbt Core with Git integration.
• Experience implementing enterprise-wide metric programs or shared semantic layers.
• Experience with governance practices for documentation, lineage, and change management.

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience.
• Minimum 5 years of analytics or data experience with demonstrated ownership of complex analytical models.
• Strong SQL proficiency and experience with governed analytics delivery practices.

At HDR, we are committed to the principles of employment equity.

We are an affirmative action and equal opportunity employer. We consider all qualified applicants, regardless of criminal histories, arrest and conviction records.