Salesforce Marketing Cloud Architect

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
• 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

• 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