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# Data Engineer (SMTS / LMTS) - MDM

- **Company:** Salesforce Inc.
- **Location:** Seattle, WA, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Adobe InDesign, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Code Review, Data Cleansing, Information Engineering, Extract Transform Load (ETL), Cursor (Graphical User Interface Elements), Programming Tools, Digital Assets, Distributed Computing Environment, Standard Sql, Salesforce.Com, Data Streaming, Systems Integration, Enterprise Application Integration, GitHub Copilot, Event Driven Architecture, Enterprise Integration, Apache Kafka, Data Management, Restful APIs, Data Pipelines, Mulesoft, Microservices
- **Published:** August 12, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/data-engineer-smts-lmts-mdm-seattle-wa-usa-58912203

## About the Role

data Leadspace) for data enrichment * Design and optimize data models, schemas, APIs, and integration patterns for hierarchical/relational/party data * Ensure production-grade reliability with monitoring, observability, security by design * Promote AI-assisted software engineering practices to boost productivity and delivery speed * Collaborate in design reviews, code reviews, and release activities * Troubleshoot production issues and drive long-term corrective actions * LMTS: define architecture, establish standards for scalability/observability/security/operational excellence * LMTS: partner with PMs, Product Owners, TPMs to align architecture with business goals * LMTS: provide technical leadership across internal teams and system integrators Tasks * 8+ years in software/data engineering, enterprise integration, or MDM (SMTS) * Experience with AI-assisted development platforms (Claude, Cursor, Windsurf, GitHub Copilot) * Hands-on with Informatica SaaS MDM and party data models * aaaa
ETL/ELT in Java, REST APIs, microservices, and enterprise integration patterns * Experience building MuleSoft integrations, API orchestration, Airflow, ETL/ELT pipelines * Experience with Kafka or other event-streaming tech, CDC, and event-driven architectures * Cloud experience (AWS, GCP, or Azure) and cloud-native development * Strong SQL, data modeling, and distributed data processing knowledge * Excellent communication and collaboration skills * LMTS: deep MDM expertise (entity resolution, match/survivorship, data quality, governance) * LMTS: track record in cross-functional leadership and architecture strategy * Related technical degree required Key requirements * time off programs * medical * dental * vision * mental health support * paid parental leave

## Description

Experteer Overview In this role you will design, build, and operate AI-powered MDM capabilities to enable trusted data foundations across a global customer ecosystem. You will contribute to enterprise data integration, entity resolution, and golden record lifecycle while advancing AI-assisted tooling to boost developer productivity. This role partners with cross-functional teams to shape scalable, production-grade platforms and governance for data assets. You will lead or influence technical strategy and delivery, depending on your level, within a mission to transform data management at Salesforce. Compensation / Benefits * Design, develop, and maintain AI-powered developer tools and automation using modern AI platforms * Build end-to-end MDM integrations including MuleSoft, Airflow, API orchestration, CDC, and batch pipelines * Implement entity resolution, golden record lifecycle, and hierarchy management * Develop integrations with third-party data providers (Dun & Bradstreet, Moody's, Leadspace) for data enrichment * Design and optimize data models, schemas, APIs, and integration patterns for hierarchical/relational/party data * Ensure production-grade reliability with monitoring, observability, security by design * Promote AI-assisted software engineering practices to boost productivity and delivery speed * Collaborate in design reviews, code reviews, and release activities * Troubleshoot production issues and drive long-term corrective actions * LMTS: define architecture, establish standards for scalability/observability/security/operational excellence * LMTS: partner with PMs, Product Owners, TPMs to align architecture with business goals * LMTS: provide technical leadership across internal teams and system integrators Tasks * 8+ years in software/data engineering, enterprise integration, or MDM (SMTS) * Experience with AI-assisted development platforms (Claude, Cursor, Windsurf, GitHub Copilot) * Hands-on with Informatica SaaS MDM and party data models * Proficiency in Java, REST APIs, microservices, and enterprise integration patterns * Experience building MuleSoft integrations, API orchestration, Airflow, ETL/ELT pipelines * Experience with Kafka or other event-streaming tech, CDC, and event-driven architectures * Cloud experience (AWS, GCP, or Azure) and cloud-native development * Strong SQL, data modeling, and distributed data processing knowledge * Excellent communication and collaboration skills * LMTS: deep MDM expertise (entity resolution, match/survivorship, data quality, governance) * LMTS: track record in cross-functional leadership and architecture strategy * Related technical degree required Key requirements * time off programs * medical * dental * vision * mental health support * paid parental leave


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