Senior Data Engineer at ShyftLabs
Toronto
—
Jul 27, 2026
Toronto
Jul 28, 2026
What this job asks for AI summary
A senior/lead data engineering role at a Toronto-based consultancy, focused on architecting and delivering enterprise-scale data platforms for Fortune 500 clients. The position combines deep hands-on work — Databricks, Spark, Lakehouse/Delta Lake design, cloud-native pipelines — with client-facing technical leadership: running discovery workshops, defining solution architecture, and mentoring engineering teams through full project delivery. Hybrid, three days per week in downtown Toronto.
Senior level · 8+ years · Toronto, ON · Bachelor's required · Full-time
Quick apply — this platform usually takes a CV and a few fields.
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The salary range of $140,000–$180,000 is stated in CAD, reflecting the downtown Toronto office location — US compensation benchmarks do not apply.
The role is titled 'Senior / Lead Data Engineer' and the posting frames it as a leadership position, but the requirements (8+ years overall, 5+ years Databricks/Spark, hands-on delivery ownership) are consistent with a Senior band rather than Staff or Principal — no genuine org-wide or multi-team directional scope is described.
SOC classification is Medium confidence: the role's primary work is designing and building data pipelines and Lakehouse architectures (15-1243 Database Architects), but the volume of application-level Spark/Python development and CI/CD work also makes 15-1252 Software Developers a reasonable fit.
Degree requirement: the posting lists 'Bachelor's or Master's degree' as part of 'What You'll Bring' with no 'or equivalent experience' escape clause, so Bachelor's is treated as the minimum hard requirement.
Terraform appears in the required section ('Implement Infrastructure-as-Code using Terraform or similar technologies') with a substitution qualifier; it is still a hard gate on IaC capability — the 'or similar' means the specific tool is interchangeable, not that the skill is optional.
Unity Catalog is listed under 'Nice to Have' despite also being mentioned in the required Data Governance section as a configuration task; the explicit 'Nice to Have' heading takes precedence for the standalone certification/deep-expertise framing.
The Databricks Certified Professional Data Engineer certification is listed under 'Nice to Have' and is not captured as a skill since it is a credential rather than a concrete technology.
Read the full posting
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