Are you a seasoned data management professional with a passion for integrating Salesforce and Master Data Management (MDM) solutions? We’re seeking a highly skilled MDM / Salesforce Integration Analyst to lead transformative data solutions for a major financial services organization. This remote contractor role offers the chance to influence enterprise-wide data architecture, design scalable integration patterns, and collaborate with cross-functional teams to deliver high-impact results.
As the key driver of Salesforce/MDM integration initiatives, you will architect real-time and batch processes, define enterprise data models, and ensure data quality and consistency across systems. Your expertise will empower the client to establish golden records, manage hierarchies, and deliver seamless customer and organizational data flows, aligning technology with strategic business objectives. If you thrive on complex system integrations, have a deep understanding of data transformation, and excel at stakeholder collaboration, this role is your next big challenge.
Please note: This is a W2 position
Duration:6+ Months
Location: Remote within USA
Start Date: ASAP
Responsibilities
Lead the Salesforce/MDM integrations workstream, designing architecture, data models, and workflows
Drive the development of real-time and batch data integration patterns between Salesforce and UMDM
Define target-state customer and organizational data models, including APIs and interfaces
Design Golden Record processes, including match/merge, survivorship, hierarchy, and relationship management
Collaborate with business and technical teams to translate requirements into scalable MDM solutions
Ensure Salesforce data aligns with enterprise MDM standards and governance policies
Specify API contracts, interface specifications, and integration workflows
Partner with integration teams on REST API, event-driven, and middleware-based solutions to enable bi-directional data synchronization
Establish error handling, reconciliation, and ongoing monitoring processes for data quality
Conduct source-to-target mapping workshops; develop detailed mapping and transformation specifications
Standardize and validate data transformations, enrichment, and reference data across systems
Work with stakeholders to validate mappings and ensure business needs are met through technical design
Required Skills
10+ years of Data Management, Integration, and Solution Design experience
Extensive expertise in Informatica UMDM, particularly within Financial Services
Proven experience integrating Salesforce with enterprise systems
Deep knowledge of Salesforce data models: Account, Contact, Lead, Opportunity, Party
Strong API development skills, especially RESTful services and middleware platforms
Demonstrated ability to define source-to-target mappings, transformation rules, and validation processes
Expertise in data quality frameworks, matching, survivorship, and hierarchy management
Excellent stakeholder management and leadership capabilities
Ability to lead cross-functional teams and translate business needs into scalable data solutions
Nice To Have Skills
Experience with event-driven architecture and middleware messaging solutions
Knowledge of Salesforce integration patterns and best practices
Familiarity with data governance, compliance standards, and regulatory requirements
Certification in Data Management or Salesforce is a plus
Preferred Education & Experience
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field
More than 10 years of relevant experience in data or system integration within financial services
Other Requirements
Ability to work effectively in a remote environment
Strong communication skills to partner with business and technical stakeholders
Willingness to participate in source-to-target workshops and validation sessions
If you’re ready to take on a leadership role in a dynamic setting and shape innovative data management strategies, we want to hear from you. Apply now to join a forward-thinking team dedicated to transforming enterprise data ecosystems!