Antonia, MOremote

Salary
$140,000–$175,000from the description
Posted
Jul 21, 2026
Location
Antonia, MO
Last confirmed open
Jul 24, 2026

What this job asks for AI summary

A senior consulting role focused on building and commercializing cloud data and AI solutions for enterprise clients. The position involves designing modern data architectures — including lakehouses, data mesh, and real-time streaming patterns — migrating data from legacy systems, and translating technical concepts into packaged, revenue-generating offerings. It suits an experienced cloud data architect with a consulting background who can engage both C-suite stakeholders and engineering teams.

Senior level · 8+ years · Remote · Full-time

Must have (6)
AWS, Azure or GCPDatabricks, Snowflake or Microsoft FabricETL/ELTKafka, Azure Event Hub or FlinkBedrock, Azure Ai Foundry, Vertex Ai or SagemakerRAG
Nice to have (1)
Apache NiFi or Informatica

“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 85 people nationally plausibly meet what this posting asks for (database architects). range 35–180

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
Bedrock3%RAG8%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Databricks42%

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). 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 29, 2026. It is a model, not a headcount.

Why we read it this way (7)

The role sits at the intersection of cloud data architecture, consulting/pre-sales, and AI operationalization — it is primarily a solution-architect/data-architect function in a professional-services context. 15-1243 (Database Architects) is the closest fit for the data-platform design and migration work; 15-1299 is noted as an alternative given the heavy consulting, sales-enablement, and AI-strategy dimensions that go beyond pure data architecture.

The posting is tagged #LI-REMOTE and lists no fixed office location; compensation range note mentions variation by geography, consistent with a fully remote US role.

AWS, Azure, and GCP are listed together as interchangeable cloud platform options under the required qualifications; Databricks, Snowflake, and Microsoft Fabric are similarly listed as interchangeable modern data platform options — each group is captured as one skill with alternatives.

The Technical Depth section reads as a description of the role's scope rather than a gated requirements list; skills drawn from it (Kafka/Kinesis/Azure Event Hub/Flink, Bedrock/Azure AI Foundry/Vertex AI/SageMaker, RAG, ETL/ELT) are marked required because they are framed as core competency areas the role must demonstrate, not merely nice-to-haves.

Apache NiFi, Informatica, and AWS Glue appear under Preferred Skills with explicit 'familiarity with' framing — marked preferred accordingly.

The Bachelor's degree requirement accepts 'equivalent practical experience,' so the degree requirement is set to None.

Variable incentive compensation (bonuses/commissions) is mentioned as possible but not quantified; base range only is captured.

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