Senior Data Engineer

Location: Remote, Ontario

Department: Technology

Location Type: REMOTE

Employment Type: FULL_TIME

About Blue J

A Note on Location

The Opportunity

What You’ll be Doing

• Own and maintain the Snowflake data warehouse, ensuring reliability, performance, and scalability
• Manage core Fivetran data ingestion pipelines, monitoring freshness, schema changes, and failures
• Build and maintain dbt models, including staging, intermediate, and gold-level data marts
• Define and enforce standards for data ingestion, modeling, testing, documentation, and consumption — so teams across the org can own their data products with confidence
• Set expectations for data producers (e.g., teams building features that generate data) around schema management, freshness, quality, and lifecycle ownership
• Optimize table design, naming conventions, semantic layers, and documentation to reduce dependency on ad-hoc requests and eliminate duplicate logic

• Design and maintain analytics-ready data marts that serve core business use cases (GTM, Finance, Product, Engineering, Leadership)
• Establish clear definitions for primary company KPIs, with shared ownership and alignment across stakeholder teams
• Partner with domain experts to ensure metrics are accurate, trusted, and consistently interpreted
• Implement testing, freshness checks, and validation to protect data quality

• Act as a central intake point for analytics and data requests across departments
• Coach and support teams that are building or maintaining their own data products within the platform
• Balance short-term requests with longer-term platform, governance and modeling investments
• Communicate tradeoffs clearly and set realistic expectations on delivery timelines

• Monitor Snowflake usage and costs, identifying inefficient queries, models, or usage patterns
• Optimize warehouse design, clustering, materialization strategies, and compute usage
• Partner with stakeholders to encourage efficient consumption patterns without slowing teams down
• Proactively flag cost risks and recommend mitigation strategies

What You Offer Blue J 

• A minimum of 6 years of experience in Data Engineering, Analytics Engineering, or a closely related role
• A minimum of 2 years of hands-on experience owning a Snowflake data warehouse in a production environment
• Strong experience with dbt, including model design, testing, and documentation
• Experience managing data ingestion tools such as Fivetran (or similar)
• A solid understanding of data engineering best practices, including dimensional modeling and metric governance
• Comfort working cross-functionally with Marketing, Sales, Customer Success, Finance, Product, and Operations
• Experience prioritizing competing stakeholder requests in a fast-moving environment
• Familiarity with BI tools and how downstream users interact with data
• A pragmatic mindset: you care about correctness, scalability, and cost—but also about enabling teams to move fast
• Experience working in B2B SaaS and/or a scaling, high-growth environment

What We Offer You 

• A rare opportunity to own and shape the analytics foundation at a high-growth, AI-powered company.
• High visibility and impact—your work directly influences how leaders and teams make decisions.
• We’re well-funded and offer competitive base salaries and stock options. You’ll play a crucial role in our growth, and it’s important to us that you share in our long-term success. 
• We are taking an exciting, highly anticipated new product into a virtually untapped market at a time when there is a huge amount of buzz around the type of work that we do. You’ll have the opportunity to work at our growing organization, and play a meaningful role in our expansion.
• We've got great leadership and you'll get to work with and learn from leaders with a proven track record of success in the technology industry.
• We’ve got an amazing team. We’re mission-driven and motivated by success, but we’re friendly, we’re collaborative, and we care about each other. We’ve got all the start-up perks you’d expect, and are intentionally building a culture where you can pickleball if you want, feel safe to be yourself at work, and watch your career grow because your team has invested in you.
• We care about you. You’ll have a healthy work/life balance and colleagues who respect it. We’ve mindfully put together a great benefits package that covers you and your whole family. 

The Core Values that Define Our Culture

• We are customer-focused
• We put the team interest before self-interest
• We are pleasant and playful
• We are open to better ideas
• We deliver on our promises
• We solve the toughest problems

What to Expect in the Interview Process

• Screening call (30 min) - Talent Acquisition
• Technical Data Modelling Exercise (60 min) - Director of Engineering
• Data Platform Design (45 min) - Director of Engineering
• Past Experience Interview (45 min) - CTO
• Meet the Team (30 min)

How We Use AI in Our Hiring Process