Assured is on a mission to modernize insurance. Claims processing (i.e. should we pay this claim?), while often overlooked, is the foundation of the entire industry. It’s currently highly manual, involving phone calls, faxes, and gut instinct, costing tens of billions of dollars a year. At Assured, we provide large insurers with the software solutions they need to win in a modern, technology-driven world. From self-service claim-filing software to backend fraud detection, we’re the engine that powers claims processing for some of the largest insurers in the world.

The challenges we face are deep and diverse, from creating digital experiences that provide comfort and clarity to claimants at their most stressed and vulnerable to orchestrating large-scale ML-driven decision-making on billions of dollars of claims payments, life at Assured is dynamic, collaborative, and rewarding.

As a Data Architect, you'll define the standards, patterns, and platform that turn raw data into analytics the whole business can trust, designing and building our BI analytics platform.

Classify sensitive data and build the controls that protect it without slowing analysts down: tagging, masking, row access policies, least-privilege RBAC, and clear retention and deletion rules.

⏱️ Turn data reliability into commitments.

Define SLAs, SLOs, and freshness targets for every data product, and design the monitoring and alerting that catch a breach before consumers do.

Design how data flows.

Architect ingestion, transformation, and orchestration patterns that are idempotent, recoverable, and cost-aware, including backfills, late-arriving data, and failure handling.

Translate reporting needs from analysts, BI developers, and business leaders into durable data models, and work with Security, Legal, and Compliance on audits and access reviews.

Require version control, code review, CI/CD, automated tests, and infrastructure as code for every change, and enforce data quality contracts at each layer boundary.

Raise the technical bar around you.





Mentor data engineers and analytics engineers through design review, written guidance, and hands-on collaboration on the problems they own.

Have deep data architecture expertise.

You bring 8+ years in data engineering, architecture, or warehousing, including 3+ years as the accountable architect, with expert SQL and working fluency in Python.

❄️ You've run Snowflake (or equivalent) in production at scale, including RBAC, masking and row access policies, object tagging, resource monitors, and cost management. Model data with intent.

You're expert in dimensional (Kimball) and normalized modeling, ideally Data Vault too, and know when each one fits.

️ Have a track record with PII and regulated data.

You've defined and met data SLAs, with the monitoring, alerting, and incident response to back them. Git workflows, code review, CI/CD, automated testing, and environment promotion are second nature. Competitive Compensation: Competitive salary and equity packages for all employees

Healthcare Plan: Platinum medical, dental, and vision

️ Free life insurance: Including long-term disability & short-term disability

Unlimited PTO: Uncapped vacation days & paid holidays

Family Leave: WFH Benefits: Lunch on us 2x/week, monthly phone stipend & other home office perks

Health FSAs & HSAs: Pre-tax accounts for out-of-pocket medical expenses

Team events & Offsites: We're remote, but we regularly get together

**claims email addresses and all interviews are conducted through verified company channels. claims before sharing any personal information**

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other advantages and privileges of employment.

📌 BI Data Engineer - remote (Canada)
🏢 Assured
📍 Canada