Platform Engineer III – Dataiku at Hudson Manpower
Cincinnati, OH
$114,400–$124,800
Jul 20, 2026
Cincinnati, OH
Jul 23, 2026
What this job asks for AI summary
This role centers on engineering and governing a Dataiku DSS platform at an enterprise level — covering architecture, security hardening, deployment standards, and integrations with tools such as Snowflake, DBT, and AWS. The work involves building plugins, automating scenarios, enforcing data quality and lineage controls, and connecting the platform to broader enterprise systems via REST APIs. It suits a hands-on platform engineer or architect rather than a data scientist or workflow developer.
Senior level
Advertised as Mid, but the requirements read as Senior.
“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 $138,970 (middle half $107,524–$175,762).
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 (5)
The title 'Platform Engineer III' uses a numeric level (III) that maps to Mid/advertised, but the actual scope — owning platform architecture, production hardening, enterprise governance, and security integration — clearly supports a Senior classification.
SOC classification is Medium confidence: the role is primarily about building and engineering the Dataiku platform (software development, automation, plugin development) which fits 15-1252, but the strong data architecture and governance emphasis (data lineage, metadata, data quality, Snowflake/dbt integration) makes 15-1243 Database Architects a plausible runner-up.
Tokenization and Field-Level Encryption appear under Preferred Skills as security capabilities rather than named products; no specific tool is cited beyond Fortanix, which is captured separately.
Dataiku Design & Automation Nodes and Deployment Automation appear under Preferred Skills as platform-specific features/practices rather than standalone named technologies, so they are represented through the primary Dataiku DSS skill.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Fortanix Data Security Manager.
Read the full posting
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