Salesforce Data and Marketing Cloud Intelligence Architect
U.S. Bank · Denver, CO
$111,095–$130,700from the description
Jul 6, 2026
Denver, CO
Jul 21, 2026
What this job asks for AI summary
This role centers on architecting and implementing data solutions within Salesforce Datorama (Marketing Cloud Intelligence), pulling together marketing data from sources such as CRM, media, web, and email into unified models and dashboards. Day-to-day work involves building ETL pipelines, API integrations, and custom connectors, as well as configuring analytics frameworks and enforcing data governance. It suits an experienced marketing data engineer with substantial hands-on Datorama expertise and strong SQL and API integration skills.
Senior level · 6+ years · National · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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). 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)
No specific work location is stated in the posting; the pay range note references a 'primary location' but no city or state is named, so CBSA and state fields are left blank.
The title 'Architect' carries no seniority level word; the title states no level. The 5+ years in marketing data engineering and 6+ years overall experience requirement supports a Senior classification.
The Basic Qualifications state 'Bachelor's degree, or equivalent work experience', so no hard degree gate exists.
The role sits at the intersection of data architecture (pipeline/ETL/data modeling) and marketing analytics (dashboards, KPI frameworks); 15-1243 Database Architects is the best fit given the emphasis on data modeling, ETL pipelines, and schema design, with 15-2031 as a runner-up given the marketing analytics and visualization focus.
Certifications (Salesforce Certified Data Architect, Marketing Cloud Intelligence Accredited Professional) appear under a 'Desired Certifications' heading and are treated as preferred.
The 5+ years in marketing data engineering is a role-level requirement captured in the overall years minimum as 6 (the higher of the two stated minimums: 5+ and 6+).
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Marketing Cloud Intelligence Accredited Professional.
Read the full posting
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