Salesforce Marketing Cloud Architect

Salesforce Marketing Cloud Architect

Posted 1 day ago by 1761058141

Negotiable
Outside
Remote
USA

Summary: We are seeking a Salesforce Marketing Cloud Intelligence Architect to design and implement a robust marketing analytics foundation. This role involves data modeling, dashboard configuration, and the integration of complex datasets to provide actionable insights. The Architect will ensure data governance and optimize performance for high-volume datasets. Strong communication skills and a background in marketing analytics are essential for translating technical concepts into business insights.

Key Responsibilities:

  • Architect and implement Marketing Cloud Intelligence workspaces, data models, and calculated dimensions/measures
  • Configure advanced dashboards, widgets, and visualizations tailored to executive, marketing, and channel owners
  • Ingest, normalize, and harmonize large multi-source datasets (media, CRM, web, email/SMS, call center, cost, revenue)
  • Build robust data pipelines using API connectors, custom connectors, and ETL logic to ensure scale and reliability
  • Define and enforce data governance, naming standards, and version control across datasets and dashboards
  • Establish KPI frameworks and attribution approaches; translate business questions into technical metrics and logic
  • Optimize performance for high-volume datasets, including partitioning, caching, and query tuning
  • Implement QA processes for data accuracy, schema changes, release management, and regression testing

Key Skills:

  • 5+ years in marketing analytics or marketing data engineering with 3+ years focused on Salesforce Marketing Cloud Intelligence (Datorama)
  • Proven expertise configuring MCI datasets, calculated fields, data streams, harmonization, and dashboard design at enterprise scale
  • Strong SQL and data modeling skills; comfort with ETL concepts and API-based integrations
  • Demonstrated ability to parse, profile, and troubleshoot very large, messy datasets and resolve data quality issues
  • Business acumen across performance marketing, lifecycle/CRM, and measurement fundamentals (KPI design, attribution)
  • Excellent stakeholder communication; Ability to translate technical concepts into clear, actionable insights

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

RESPONSIBILITIES:
Kforce has a client that is seeking a Salesforce Marketing Cloud Architect in Fitchburg, WI.

Summary:
We are looking for a Salesforce Marketing Cloud Intelligence (formerly Datorama) Architect to design, build, and scale our marketing analytics foundation. The Architect will own data modeling, harmonization, and dashboard configuration end-to-end-connecting complex, high-volume datasets to deliver trustworthy insights that drive decisions.

Responsibilities:
* Architect and implement Marketing Cloud Intelligence workspaces, data models, and calculated dimensions/measures
* Configure advanced dashboards, widgets, and visualizations tailored to executive, marketing, and channel owners
* Ingest, normalize, and harmonize large multi-source datasets (media, CRM, web, email/SMS, call center, cost, revenue)
* Build robust data pipelines using API connectors, custom connectors, and ETL logic to ensure scale and reliability
* Define and enforce data governance, naming standards, and version control across datasets and dashboards
* Establish KPI frameworks and attribution approaches; translate business questions into technical metrics and logic
* Optimize performance for high-volume datasets, including partitioning, caching, and query tuning
* Implement QA processes for data accuracy, schema changes, release management, and regression testing

REQUIREMENTS:
* 5+ years in marketing analytics or marketing data engineering with 3+ years focused on Salesforce Marketing Cloud Intelligence (Datorama)
* Proven expertise configuring MCI datasets, calculated fields, data streams, harmonization, and dashboard design at enterprise scale
* Strong SQL and data modeling skills; comfort with ETL concepts and API-based integrations
* Demonstrated ability to parse, profile, and troubleshoot very large, messy datasets and resolve data quality issues
* Business acumen across performance marketing, lifecycle/CRM, and measurement fundamentals (KPI design, attribution)
* Excellent stakeholder communication; Ability to translate technical concepts into clear, actionable insights

Preferred Requirements:
* Experience in healthcare, payer/provider, pharma, or life sciences
* Familiarity with HIPAA, HITRUST, PHI handling, and privacy-by-design practices
* Exposure to claims, eligibility, EMR/EHR, or patient acquisition journeys and related consent/preferences models

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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