Data Engineer – SMTS, LMTS, MDM

Salesforce

Data Engineer developing AI-powered tools and MDM solutions for Salesforce. Collaborating with global teams and driving technical strategy at various levels of MDM engineering.

Posted 6/20/2026full-timeSan Francisco • California, New York, Washington • 🇺🇸 United StatesSeniorLead💰 $148,500 - $260,100 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformInformaticaJavaKafkaMicroservicesSQL

About the role

Key responsibilities & impact

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
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

Requirements

What you’ll need

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, GitHub 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 MuleSoft integrations, API orchestration services, Airflow workflows, ETL/ELT pipelines, and large-scale data engineering solutions
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 required

Benefits

Comp & perks

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI-powered developer toolsMuleSoft integrationsAirflow workflowsAPI orchestrationChange Data Capture (CDC)JavaREST APIsmicroservicesInformatica SaaS MDMSQL

Soft Skills

communicationcollaborationtechnical leadership

Certifications

related technical degree