OverviewBlue J is the leading generative AI solution for tax professionals. As a B2B SaaS company, our customers are accountants and tax experts who rely on our software to deliver fast, accurate, and defensible answers to complex tax questions. Following recent funding and growth, we are seeking a Senior Data Engineer to build, scale, and govern the analytics foundation that powers decision-making across the company.Reporting to the CTO, this role will own the core analytics platform — from ingestion standards to transformation patterns to consumption frameworks — ensuring the data warehouse is reliable, cost-efficient, and governed in a scalable way. This is a hands-on role for someone who enjoys building durable data systems, designing governance that empowers other teams, and balancing speed with long-term scalability.A Note on LocationWe are excited to meet qualified candidates. This is a remote position requiring applicants to be within commuting distance of Toronto for in-person meetings 1-2 times per quarter.The OpportunityAs our first dedicated Data Engineer, you will own the analytics data platform — not just the warehouse and models, but the standards, patterns, and guardrails that allow the rest of the organization to produce and consume data with confidence. Your goal is to build a foundation that lets teams own their data products while maintaining quality, consistency, and trust across the business. This role combines technical ownership, governance design, and stakeholder partnership.You will balance hands-on building with enabling others — centralizing the standards so ownership can be distributed.What You’ll Be DoingOwn the Analytics Data Platform & Governance StandardsOwn and maintain the Snowflake data warehouse, ensuring reliability, performance, and scalabilityManage core Fivetran data ingestion pipelines, monitoring freshness, schema changes, and failuresBuild and maintain dbt models, including staging, intermediate, and gold-level data martsDefine and enforce standards for data ingestion, modeling, testing, documentation, and consumption — so teams across the org can own their data products with confidenceSet expectations for data producers around schema management, freshness, quality, and lifecycle ownershipOptimize table design, naming conventions, semantic layers,



and documentation to reduce ad-hoc requests and duplicate logicBuild & Govern Gold-Level Data MartsDesign 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 across stakeholder teamsPartner with domain experts to ensure metrics are accurate, trusted, and consistently interpretedImplement testing, freshness checks, and validation to protect data qualityStakeholder Partnership & PrioritizationAct as a central intake point for analytics and data requests across departmentsCoach and support teams building or maintaining their own data products within the platformBalance short-term requests with longer-term platform, governance, and modeling investmentsCommunicate tradeoffs clearly and set realistic delivery timelinesCost Monitoring & OptimizationMonitor Snowflake usage and costs, identifying inefficient queries, models, or usage patternsOptimize warehouse design, clustering, materialization strategies, and compute usagePartner with stakeholders to encourage efficient consumption patterns without slowing teams downProactively flag cost risks and recommend mitigation strategiesWhat You Offer Blue JA minimum of 6 years of experience in Data Engineering, Analytics Engineering, or a closely related roleA minimum of 2 years of hands-on experience owning a Snowflake data warehouse in a production environmentStrong experience with dbt, including model design, testing, and documentationExperience managing data ingestion tools such as Fivetran (or similar)A solid understanding of data engineering best practices, including dimensional modeling and metric governanceComfort working cross-functionally with Marketing, Sales, Customer Success, Finance, Product,



and OperationsExperience prioritizing competing stakeholder requests in a rapid-moving environmentFamiliarity with BI tools and how downstream users interact with dataA pragmatic mindset: you care about correctness, scalability, and cost—but also about enabling teams to move fastExperience working in B2B SaaS and/or a scaling, high-growth environmentWhat We Offer YouA 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.Competitive base salaries and stock options with opportunities for growth tied to performance and impact.Opportunity to work on a new product in a rapidly evolving market and contribute to the company’s expansion.Strong leadership and a collaborative, supportive culture with startup perks and growth opportunities.Healthy work-life balance and a benefits package that supports you and your family.The Core Values that Define Our CultureWe are customer-focusedWe put the team interest before self-interestWe are pleasant and playfulWe are open to better ideasWe deliver on our promisesWe solve the toughest problemsInterview ProcessScreening call (30 min) - Talent AcquisitionTechnical Data Modelling Exercise (60 min) - Director of EngineeringData Platform Design (45 min) - Director of EngineeringPast Experience Interview (45 min) - CTOMeet the Team (30 min)We believe our strength is built on diversity of thought, and we are an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We strive to create an inclusive and accessible hiring experience for all candidates. If you need accommodations, please let us know in your application. We use AI-enabled tools within our applicant tracking system to help organize applications and highlight profiles that match key requirements. AI does not make hiring decisions; every applicationis reviewed by a human. We are committed to a fair, thoughtful, and equitable experience for every candidate.CompensationThe base pay range for this role is CA$140,000 – CA$180,000 per year. Final compensation will be set based on experience, expertise, and alignment with the role’s responsibilities.#J-18808-Ljbffr

📌 Senior Data Engineer - C$140,000 - C$180,000 A Year (Winnipeg)
🏢 Blue J
📍 Winnipeg