Design, implement, and maintain scalable and integrated Salesforce data models that support business operations and analytics.
Develop and enhance data integration between Salesforce and external platforms to ensure data consistency and accessibility for reporting.
Align data architecture with Master Data Management strategies and ensure data accuracy and quality across the platform.
Lead efforts to integrate Salesforce data with other enterprise systems, supporting analytics and reporting needs across business units.
Collaborate with IT, Sales, Service, and Marketing teams to understand cross-functional data requirements and facilitate data interoperability.
Design data structures and models that enable efficient consumption of Salesforce data for business intelligence and analytics.
Support the development of dashboards and reports by ensuring the underlying data model meets consumption focus and self-service analytics requirements.

Requirements

Bachelor’s degree required. Degree in Computer Science, Information Systems, or a related technical discipline preferred.
Minimum of 5+ years’ experience designing, developing, deploying, managing, and governing advanced data models in an enterprise digital environment.
Demonstrated experience with Master Data Management and enterprise data governance.
Proficient with data modeling best practices, Salesforce Data Cloud, relational/non-relational data stores, and the implementation of effective data model solutions.
Solid background using ETL/integration platforms (MuleSoft, Informatica, Boomi, etc.).
Experience supporting reporting and analytics initiatives with a user-centric and consumption-focused approach.
Proficiency with data modeling tools, ETL processes, and integration middleware.
Working knowledge of Salesforce architecture capabilities and ecosystem, including Sales Cloud, Service Cloud, Marketing Cloud, and Data Cloud.

Benefits

Health insurance options (two medical options)
Vision and dental coverage
401(k) Investment Plan with company match
Pension plan
Quarterly (hourly) / Annual (salary) bonus potential based on performance metrics
Paid time off
Paid holidays

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data modelingdata integrationMaster Data Managementdata governanceETL processesSalesforce Data Cloudrelational data storesnon-relational data storesdata model solutionsanalytics

Soft Skills

collaborationcross-functional communicationuser-centric approachproblem-solvingleadership