Senior Business Intelligence Engineer

Braze•Toronto, ON

8d•Hybrid

About The Position

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. Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging. Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.

Requirements

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

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

Benefits

Competitive compensation that may include equity
Retirement and Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans covering medical, dental, vision, life, and disability
Family services that include fertility benefits and equal paid parental leave
Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
A curated in-office employee experience, designed to foster community, team connections, and innovation
Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
Employee Resource Groups that provide supportive communities within Braze
Collaborative, transparent, and fun culture recognized as a Great Place to Work