Salesforce seeks a Data Engineer at the Senior or Lead Member of Technical Staff level within MDM to design, build, and operate Master Data Management capabilities, including entity resolution, golden records, and hierarchy automation, while guiding technical strategy and leveraging AI powered tooling.
Responsibilities
- Design, develop, and sustain AI driven developer tools, engineering automation, and productivity accelerators using modern AI platforms such as Claude, Cursor, Windsurf, and GitHub Copilot, among others
- Build and maintain end-to-end MDM integrations, including MuleSoft connections, Airflow workflows, API orchestration, event-driven architectures, Change Data Capture, and batch processing pipelines
- Implement entity resolution, golden record lifecycle management, hierarchy processing, data quality validation, and governance capabilities
- Integrate 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 to meet MDM needs across hierarchical, relational, and party data structures
- Deliver production-grade solutions with robust monitoring, alerting, operational supportability, and security by design
- Promote 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, perform root cause analysis, and implement scalable long-term fixes
- Collaborate effectively with globally distributed teams across multiple time zones
- LMTS additional: 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
- LMTS additional: Lead design reviews and establish engineering standards for scalability, observability, resiliency, security, testing, and operational excellence
- LMTS additional: Partner with PMs, Product Owners, TPMs, and business stakeholders to define architecture, roadmap priorities, solution designs, and delivery plans aligned with business objectives
- LMTS additional: Provide technical leadership across internal engineering and systems integrator teams
Requirements
Minimum Qualifications — SMTS
- 8+ years of experience in software engineering, data engineering, enterprise integration, or MDM platforms
- 10+ years of progressive experience in enterprise integration, data engineering, MDM, or large-scale data platform development
- Proven experience using modern AI assisted development platforms such as Claude, Cursor, Windsurf, GitHub Copilot, or similar to boost engineering productivity
- Strong understanding of Generative AI and agentic workflows and their practical application within software engineering
- Hands-on experience with Informatica SaaS MDM, particularly with party data models including Account, Contact, Organization, and Supplier
- Hands-on development experience with Java, REST APIs, microservices, and enterprise integration patterns
- Experience designing and building API orchestration layers, MuleSoft integrations, microservices, and event-driven architectures
- Experience with Kafka or similar event-streaming technologies, CDC, and event-driven architectures
- Experience with AWS, GCP, or Azure cloud services and cloud-native application development
- Strong knowledge of SQL, data modeling, database design, and distributed data processing architectures
- Excellent communication and collaboration skills
- A related technical degree is required
Minimum Qualifications — LMTS
- 10+ years of progressive experience in enterprise integration, data engineering, MDM, or large-scale data platform development
- Deep expertise in MDM concepts including entity resolution, golden record lifecycle, match/merge/survivorship, data quality, governance, and hierarchy management
- Proven experience designing and building API orchestration layers, MuleSoft integrations, microservices, and event-driven architectures
- Proven experience building developer tools using modern AI tech stacks such as Claude, Cursor, and related tools in the MDM domain
- Demonstrated technical leadership, cross-functional collaboration, and the ability to drive multiple complex initiatives from design through delivery
- Excellent communication skills with the ability to influence stakeholders across all levels
Even Better If
- Experience with Salesforce Data Cloud, CRM platforms, or broader Salesforce ecosystem technologies
- Experience handling corporate hierarchy data from Dun & Bradstreet, Moody's, or Leadspace, including family tree traversal, DUNS resolution, monitoring, and registration workflows
- Experience building Python based data engineering frameworks and automation solutions
- Experience with data stewardship, governance processes, and operational data quality tooling
- Experience with Retrieval-Augmented Generation (RAG), vector databases, AI agents, MCP frameworks, or related AI technologies
- Experience building internal developer platforms, engineering productivity tools, or agentic solutions supporting enterprise engineering teams
- Demonstrated track record of driving measurable engineering productivity improvements through AI enabled tooling and automation
- Certifications in MDM, data management, cloud platforms, MuleSoft, Informatica, or related technologies
Technologies
- Claude
- Cursor
- Windsurf
- GitHub Copilot
- MuleSoft
- Airflow
- Kafka
- AWS
- GCP
- Azure
- Informatica SaaS MDM
- Java
- REST APIs
- Microservices
- Python
- Salesforce Data Cloud
Benefits
- Time off programs
- Medical
- Dental
- Vision
- Mental health support
- Paid parental leave
- Life and disability insurance
- 401(k)
- Employee stock purchasing program
Location
San Francisco, CA (onsite)
Job Category
Compensation
USD 148,500 - 285,800 per year
About Salesforce
Salesforce positions itself as a leading AI enabled CRM where people and AI agents come together to drive customer success. The company emphasizes turning ambition into action, technology into trust, and innovation into a core operating principle. Salesforce seeks Trailblazers who are committed to advancing business and society through AI while upholding its core values.
If you aim to advance your career at a company shaping workforce transformation in the AI era, this is a place to explore. The organization views Agentforce as the future of AI and invites engineers to contribute to Salesforce's ongoing AI initiatives.
The Experience
Salesforce is building a comprehensive understanding of business relationships across its global customer ecosystem. A key pillar is Master Data Management, which identifies, enriches, deduplicates, and governs every business entity and corporate hierarchy the company engages with. The team is seeking SMTS and LMTS engineers to design, develop, and operate essential MDM capabilities such as entity resolution, golden records, and corporate hierarchy automation, while leveraging modern AI technologies to create developer tools, automation, and productivity accelerators.
At LMTS level, the role includes shaping technical strategy for end-to-end platforms and providing cross-functional leadership. At SMTS level, the role emphasizes hands-on technical leadership with a focus on translating architecture into scalable, production-grade systems. Both paths collaborate closely with Product Management, Data Governance, Architecture, Systems Integrator partners, and downstream consuming teams.
Accommodations
If you require a reasonable accommodation during the application or recruiting process, please submit a request through the Accommodations Request Form.
Unleash Your Potential
Joining Salesforce offers broad support for work life balance and personal growth, with benefits and resources to help you thrive. The company emphasizes AI enabled impact to accelerate outcomes and the pursuit of delivering exceptional experiences for customers and users.
