Sr Infrastructure Engineer (Data Governance) at Insight Global
Cary, NC
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Jul 23, 2026
Cary, NC
Jul 25, 2026
What this job asks for AI summary
A senior infrastructure engineering role focused on building and scaling a DataHub-based metadata catalog for first-party data assets in a large, multi-account AWS environment. Day-to-day work involves automating data source discovery and registration, developing integrations across MongoDB, DynamoDB, and relational databases, managing cross-account IAM and credential infrastructure, and creating DataHub automations for tagging, notifications, and policy enforcement. Suits engineers with a strong AWS and platform background who are comfortable navigating cross-functional stakeholder environments.
Senior level · 5+ years · 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
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 $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 (8)
The posting is placed by staffing firm Insight Global on behalf of a gaming industry client (Epic Games is implied). The engagement is likely contract/staffing, though the posting does not explicitly state contract vs. full-time — employment type inferred as Contract given the Insight Global staffing context.
The role sits at the boundary between software development (building automations, integrations, IaC) and infrastructure/platform engineering (operating AWS environments, Kubernetes). It was classified as Software Developers (15-1252) because the primary deliverables are code — automations, integrations, pipelines — rather than operating existing infrastructure; 15-1244 is noted as a close runner-up.
DataHub (Acryl Data or open-source) is listed under Skills and Requirements with the qualifier 'or comparable metadata/catalog platforms' — the alternatives field is intentionally left empty because no specific named alternative platform is cited; the qualifier signals interchangeability but names no peer tool.
AI-assisted development (coding assistants, agentic AI systems) is explicitly listed as a required skill in the Skills and Requirements section; it is retained despite being somewhat abstract because the JD calls it out with firm language and specific sub-categories.
MongoDB, DynamoDB, and PostgreSQL/RDS appear in the narrative work description ('starting with MongoDB, then DynamoDB, then relational databases') rather than in a hard-requirements gate, so they are marked preferred.
Prior experience in information security, data governance, privacy engineering, or compliance-adjacent roles is listed in Skills and Requirements but is a background/context qualifier rather than a named technology, so it is not emitted as a skill per the schema rules.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI-assisted development.
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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