Data Solutions Engineer
Posted 15 Jul 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4–5 yrs
- Management level
- Individual contributor
- Employment
- On-Site
No salary listed for this role.
Field of studyComputer Science, Data Science, Economics, Statistics (or related)
Study levelBachelor's
Establish the single source of truth for customer data. Then use it to get every customer to value, fast.
On-site | Vancouver Office – 564 Beatty St
The Problem We're Solving
EviSmart™ has grown fast — data now lives in more places than it used to: the backend that runs the business, the CRM where sales and customer success work, and the data every lab brings with them when they join the platform. Reporting takes more cross-checking than it should, and the data-mapping step in lab onboarding — simple in concept but exacting in practice. This role exists to close that gap: one person who owns making EviSmart's customer data a single source of truth.
Why EviSmart
- 300 people. Two hubs: Vancouver HQ and Manila operations.
- 145% year-over-year SaaS growth — the market is responding.
- 28 countries. One platform. The dental industry's Autopilot.
- An in-house AI model research and development team building proprietary intelligence.
Why This Role, Right Now
Sales, Customer Success, and go-to-market teams need to open one system and trust what they see — today they can't. And as the platform scales, onboarding has to become a repeatable machine instead of a per-customer rescue effort. These aren't future problems; they're live ones. The first months of this role are deliberately concrete: specific systems, specific deliverables, measured outcomes. But the mandate behind them is bigger — every system the platform adds and every AI capability the company builds will sit on the customer data foundation this person establishes.
What You'll Own
-
Own — Reconciliation of customer data across systems: pull a clean customer list from the backend into the CRM — no duplicates, no ghost accounts — audit what's already in HubSpot (call logs, deal history, contacts), and make the call on what stays, what gets cleaned, and what gets automated.
-
Build — A live two-way integration between HubSpot and the backend: data flows automatically, actions trigger from HubSpot, logic stays in the backend.
-
Establish — One trusted place to generate sales pipeline, retention rate, customer health, and all other sales, customer success, and go-to-market reporting.
-
Run — Customer onboarding data-mapping sessions directly with labs.
-
Deliver — A written brief for engineering: where labs hit friction during mapping, what's causing it, and what to fix so labs can complete it independently.