Senior Business Intelligence Engineer

WHAT YOU’LL DO

Join our passionate Business Intelligence Engineering team focused on building and maintaining robust data pipelines and products that enable better decision-making across Braze. You’ll work alongside talented engineers and stakeholders across the business to support data infrastructure, develop reliable metrics, and implement data processes that scale with our growth.

Responsibilities:

• Partner with stakeholders to clarify requirements and translate them into scalable data models, definitions of metrics, and sustainable dbt implementations
• Own and evolve the semantic layer alongside curated warehouse models: define reusable metrics and dimensions
• Partner with analytics and data engineering on the metric lifecycle (definition, approval, deprecation), documentation, and lineage from semantic objects through to downstream consumers
• Raise the bar on data quality: design and maintain tests, monitoring to keep metrics consistent as the business scales
• Design and communicate data flows, dependencies, and SLAs for your areas; coordinate with Data Engineering and platform teams where orchestration, warehouse behavior, or access patterns affect reliability or cost
• Mentor engineers and analysts through code review, pairing, and shared standards so the whole BI engineering practice ships faster with fewer incidents

WHO YOU ARE

The ideal candidate for this role possesses:

• 5+ years of experience in business intelligence, analytics engineering, or data engineering, with substantial time on cloud data warehouses and SQL-first analytics engineering
• Expert-level SQL and strong data modeling skills and metric design that survives real-world edge cases
• Deep hands-on experience with dbt (projects, packages, tests, documentation, CI-oriented workflows) and Snowflake (or a comparable warehouse), including optimization and operational awareness
• Hands-on experience building or maintaining a semantic layer—modeling metrics and dimensions for governed consumption, with clear documentation, drill and aggregation behavior, and access patterns suited to both self-serve and curated reporting
• Familiarity with orchestrated pipelines (for example Airflow or similar) and how upstream freshness and quality affect downstream marts and metrics
• Excellent communication with technical and non-technical partners; ability to prioritize, push back constructively, and anticipate downstream impact of model and metric changes

For candidates based in Ontario, the pay range at the start of employment for this position is expected to be between CA$112,000 - CA$168,000/year, with an expected On Target Earnings (OTE) between CA$128,000 - CA$193,000/year (including performance-based or variable compensation (bonus or commission). Your particular offer may vary depending on multiple individual factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.