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Data Engineer (SMTS / LMTS) - MDM

Salesforce
San Francisco, United Statesfull_timeVerifiedPosted 19 Jun 2026
💰 $285,800/yr($148,500/yr$285,800/yr)

About the role

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

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 Senior Member of Technical Staff (SMTS) and Lead Member of Technical Staff (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.



What You'll Actually Be Doing

  • Design, develop, and maintain AI-powered developer tools, engineering automation, and productivity accelerators using modern AI platforms such as Claude, Cursor, Windsurf, GitHub Copilot, and related technologies

  • Build and maintain end-to-end MDM integration systems, including MuleSoft 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

LMTS additionally:

  • 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



You're Our Person If...

Minimum Qualifications — SMTS (8+ years experience):

  • 8+ years of experi

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Company

Salesforce

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