Senior Data Modeler (Snowflake)
Expleo · Minneapolis, MN
$96–$106/hrfrom the description
Jul 19, 2026
Minneapolis, MN
Jul 21, 2026
What this job asks for AI summary
A senior-level data modeling role focused on designing and maintaining conceptual, logical, and physical data models within a Snowflake-based cloud data environment for an enterprise client. Day-to-day work involves translating business requirements into scalable data structures, collaborating with data engineering and governance teams, and managing documentation such as data dictionaries and lineage artifacts. Suited to an experienced data modeler with a decade or more of hands-on practice and strong SQL skills.
Senior level · 10+ years · Minneapolis-St. Paul-Bloomington, MN-WI · Contract
“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
Roughly 55 people in the Minneapolis-St. Paul-Bloomington, MN-WI area plausibly meet what this posting asks for (database architects). range 25–100
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $136,957 (middle half $115,209–$161,832). 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 role is posted by Trissential, a staffing/consulting firm placing candidates at an enterprise client — the hourly rate ($96–$106/hr) and benefits language strongly indicate a W2 contract engagement rather than direct full-time employment, despite the 'Full-Time' label in the overview.
Snowflake is listed as the primary platform but the JD explicitly accepts 'similar cloud data platforms' (e.g. BigQuery, Redshift, Azure Synapse) as substitutes — captured in alternatives.
A Bachelor's degree is listed under 'Education & Certifications You Need,' but data modeling/governance certifications are called optional and no equivalent-experience language is used. However, the degree field is set to None because the surrounding context (certifications 'not required,' consulting/staffing framing) suggests the degree is aspirational rather than a hard gate.
Python, semi-structured data (JSON), columnar/lakehouse architecture experience, and data cataloging tools all appear under the 'Bonus Points' section and are treated as preferred.
'Data modeling' is retained as a named skill here because it refers to the core discipline/practice (conceptual, logical, physical modeling) that is the primary technical gate for this role, not a generic soft concept.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): metadata management.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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