Lead SageMaker Platform Engineer at Perficient
SAINT LOUIS, MO
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Jul 1, 2026
SAINT LOUIS, MO
Jul 20, 2026
What this job asks for AI summary
This role involves building and troubleshooting machine learning pipelines on AWS SageMaker for the first time at this organization. The work centers on infrastructure-as-code deployment via Terraform and GitHub Actions across multiple AWS accounts, handling model artifact management, validation workflows, and data sourcing from Redshift. It suits an experienced practitioner who can diagnose issues and get pipelines into production reliably.
Senior level · National
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 $142,568 (middle half $111,775–$173,013).
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 (4)
This posting is extremely brief — a paragraph of project context with no formal requirements, qualifications, or preferred sections. All skills are inferred from the stack description rather than from a gating requirements block; treat them as strong contextual signals rather than confirmed hard gates.
The role sits at the intersection of ML pipeline engineering (SageMaker Pipelines), infrastructure-as-code (Terraform, GitHub Actions), and data sourcing (Redshift), making SOC classification genuinely ambiguous. It was mapped to 15-1243 (Database Architects / data pipeline builders) with 15-1252 (Software Developers) as a close runner-up; a case could also be made for 15-2051 (Data Scientists) given the ML context.
No location, remote policy, employment type, compensation, seniority level, or experience requirements are stated. The 'expert' framing and the production-readiness urgency suggest a Senior-level engagement, but this is a judgement call.
Trusted identity propagation with Redshift is mentioned as a specific technical detail — this may imply familiarity with AWS IAM / Lake Formation identity federation, though no explicit IAM skill is called out.
Read the full posting
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