Senior Platform Engineer, Technology at Kroll
Canada
—
Jul 1, 2026
Canada
Jul 20, 2026
What this job asks for AI summary
A senior-level data engineering role focused on designing and maintaining production data pipelines, Lakehouse/Medallion architecture, and ETL/ELT workflows on Azure and Databricks. The work spans data ingestion, transformation, and distribution to support analytics, reporting, and AI workloads, with additional responsibility for mentoring junior engineers. Suited to experienced engineers comfortable with Python, SQL, cloud infrastructure, and tools such as Delta Lake, Docker, and Kubernetes.
Senior level · 5+ years · National · Full-time
“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
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). 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 is quoted in CAD ($90,000–$110,000), and the posting includes a '#DNI' tag, strongly suggesting this role is based in Canada (likely a major Canadian metro), not the United States — the US-based flag is set to false accordingly. No specific city is mentioned, so no CBSA is assigned.
The degree requirement lists 'Bachelor's or master's degree' but does not explicitly state it as a hard gate (no 'required' language), and equivalent experience is common in this field; the degree requirement is set to None as a result.
The 'Essential traits' section is treated as the primary requirements block. All named technologies listed there are marked as required, including the open-source frameworks (FastAPI, Pydantic, Polars, Pandas, Delta Lake, Docker, Kubernetes), even though the list is long — the JD explicitly gates on 'proficiency in' these tools.
Power BI and Tableau are listed together as a single understanding requirement; Power BI is used as the primary skill name with Tableau as an alternative.
Infrastructure-as-code is mentioned conceptually ('infrastructure-as-code concepts') alongside CI/CD and Git but no specific tool (e.g., Terraform) is named, so no separate IaC tool skill is emitted.
The role involves both pipeline/warehouse building (ETL/ELT, Medallion architecture, Lakehouse) and significant software engineering (FastAPI, Pydantic, Docker, Kubernetes), making it a genuine SOC borderline case between 15-1243 (Database Architects) and 15-1252 (Software Developers). The primary framing is data infrastructure design, so 15-1243 is chosen with 15-1252 as the runner-up.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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