<p>Kforce is 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. Experience in the healthcare industry a plus.</p> <p>Responsibilities:</p> <ul> <li>Architect and implement Marketing Cloud Intelligence workspaces, data models, and calculated dimensions/measures </li><li>Configure advanced dashboards, widgets, and visualizations tailored to executive, marketing, and channel owners </li><li>Ingest, normalize, and harmonize large multi-source datasets (media, CRM, web, email/SMS, call center, cost, revenue) </li><li>Build robust data pipelines using API connectors, custom connectors, and ETL logic to ensure scale and reliability </li><li>Define and enforce data governance, naming standards, and version control across datasets and dashboards </li><li>Establish KPI frameworks and attribution approaches; translate business questions into technical metrics and logic </li><li>Optimize performance for high-volume datasets, including partitioning, caching, and query tuning </li><li>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) </li><li>Proven expertise configuring MCI datasets, calculated fields, data streams, harmonization, and dashboard design at enterprise scale </li><li>Strong SQL and data modeling skills; Comfort with ETL concepts and API-based integrations </li><li>Demonstrated ability to parse, profile, and troubleshoot very large, messy datasets and resolve data quality issues </li><li>Business acumen across performance marketing, lifecycle/CRM, and measurement fundamentals (KPI design, attribution) </li><li>Excellent stakeholder communication; Ability to translate technical concepts into clear, actionable insights </li></ul> <p>Preferred Requirements:</p> <ul> <li>Experience in healthcare, payer/provider, pharma, or life sciences </li><li>Familiarity with HIPAA, HITRUST, PHI handling, and privacy-by-design practices </li><li>Exposure to claims, eligibility, EMR/EHR, or patient acquisition journeys and related consent/preferences models </li></ul>