Marketing Cloud Intelligence Architect (Datorama)

U.S. Bank; Atlanta (GA); On-site; USD 111,095 - 130,700; Full time

Job summary

U.S. Bank is seeking a Salesforce Datorama Architect to design and implement complex data harmonization, ingestion, and visualization strategies. You will lead API/ETL integrations, create advanced dashboards, and ensure data governance for enterprise-level marketing analytics.

You will guide data architecture, build robust pipelines, and enforce governance to optimize high-volume datasets while delivering reliable KPI frameworks and analytics capabilities.

Qualifications

• Bachelor's degree or equivalent work experience.
• Six or more years of marketing and marketing strategy experience with proven results.
• 5+ years in marketing data engineering, with 3+ years in Salesforce Datorama (MCI).
• Deep understanding of Salesforce schema, SOQL, Data Loader, ETL tools, and master data management.

Responsibilities

• Data Architecture & Modeling: design data models, normalize, and harmonize disparate data sources within MCI.
• Implementation & Integration: build ETL pipelines, connectors, and API integrations.
• Advanced Analytics: configure calculated dimensions, measures, and complex widgets for KPI frameworks.
• Governance & Optimization: enforce data governance and naming conventions; optimize performance for high-volume data.
• QA & Release Management: implement QA processes for data accuracy and deployment.

Skills

Marketing data engineering

Salesforce Datorama (MCI)

SQL

API integrations

Data modeling

CRM platforms

Education

Bachelor's degree or equivalent

Salesforce Certified Data Architect

Platform Data Architect

Marketing Cloud Intelligence Accredited Professional

Tools

SOQL

Data Loader

ETL tools

Master data management

Job description

U.S. Bank is seeking a Salesforce Datorama Architect to design and implement complex data harmonization, ingestion, and visualization strategies. You will lead API/ETL integrations, create advanced dashboards, and ensure data governance for enterprise-level marketing analytics.

You will guide data architecture, build robust pipelines, and enforce governance to optimize high-volume datasets while delivering reliable KPI frameworks and analytics capabilities.