Data Engineer; SMTS​/LMTS - MDM

The Experience

Salesforce is building the most comprehensive understanding of business relationships across our global customer ecosystem. A critical pillar of this effort is Master Data Management (MDM): the systems that identify, enrich, deduplicate, and govern every business entity and corporate hierarchy we interact with.

We are seeking talented engineers at the SMTS and LMTS levels to join our MDM Engineering organization. In these roles, you will design, develop, and operate critical MDM capabilities — including entity resolution, golden record management, corporate hierarchy automation, and enterprise data integration solutions — while leveraging modern AI technologies to build developer tools, engineering automation, and productivity accelerators across the MDM ecosystem.

At the LMTS level, you will drive technical strategy, architect end-to-end platforms, and provide cross-functional leadership. At the SMTS level, you will serve as a hands‑on technical leader with a bias for action, translating architecture into scalable, production-grade systems. Both roles partner closely with Product Management, Data Governance, Architecture, Systems Integrator partners, and downstream consuming teams.

• Design, develop, and maintain AI-powered developer tools, engineering automation, and productivity accelerators using modern AI platforms such as Claude, Cursor, Windsurf, Git Hub Copilot, and related technologies
• Build and maintain end-to-end MDM integration systems, including Mule Soft integrations, Airflow-based workflows, API orchestration layers, event-driven architectures, Change Data Capture (CDC), and batch processing pipelines
• Implement entity resolution, golden record lifecycle management, hierarchy processing, data quality validation, and governance capabilities
• Build and maintain integrations with third-party data providers such as Dun & Bradstreet, Moody's, and Leadspace to support data enrichment and corporate hierarchy management
• Design and optimize data models, database schemas, APIs, and integration patterns supporting MDM business requirements across hierarchical, relational, and party data structures
• Build production-grade solutions with strong monitoring, alerting, operational supportability, and security by design
• Drive adoption of AI‑assisted software engineering practices to improve developer productivity, testing efficiency, and delivery speed
• Participate in design reviews, code reviews, operational readiness reviews, and release activities
• Troubleshoot complex production issues, drive root cause analysis, and implement scalable long‑term solutions
• Collaborate effectively with globally distributed teams across multiple time zones

• Architect and evolve end-to-end MDM integration systems and define technical strategy for entity resolution, golden record lifecycle, hierarchy management, data quality, and governance across multiple business domains
• Lead design reviews and establish engineering standards for scalability, observability, resiliency, security, testing, and operational excellence
• Partner with PMTS, Product Owners, TPMs, and business stakeholders to define architecture, roadmap priorities, solution designs, and delivery plans aligned with business objectives
• Provide technical leadership across internal engineering and systems integrator teams

• 8+ years of experience in software engineering, data engineering, enterprise integration, or MDM platforms
• Proven experience leveraging modern AI‑assisted development platforms (Claude, Cursor, Windsurf, Git Hub Copilot, or similar) to improve engineering productivity
• Strong understanding of Generative AI and agentic workflows and their practical application within software engineering organizations
• Strong hands‑on experience with Informatica SaaS MDM, particularly with party data models including Account, Contact, Organization, and Supplier
• Strong hands‑on development experience with Java, REST APIs, microservices, and enterprise integration patterns
• Experience building Mule Soft integrations, API orchestration services, Airflow…