Data Engineer – SMTS, LMTS – MDM

Salesforce

. Design, develop, and maintain AI-powered developer tools, engineering automation, and productivity accelerators .

Posted 10/5/2026full-timeUnited StatesSeniorLead💰 $148,500 - $260,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI-powered developer tools and MDM integration systems, with a strong focus on data quality, governance, and entity resolution. Proven ability to lead technical initiatives and collaborate effectively with cross-functional teams.

Highest-signal resume keywords

AI-Assisted Development PlatformsInformatica SaaS MDMJava DevelopmentMuleSoft IntegrationsData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData EngineeringEnterprise IntegrationREST APIsMicroservicesSQLEvent-Driven ArchitecturesCloud-Native Application DevelopmentData Quality ValidationAPI Orchestration

Soft Skills

Excellent CommunicationCollaboration Skills

Tools & Technologies

MuleSoftAirflowKafkaAWSGCPAzureSalesforce Data CloudPython-Based FrameworksETL/ELT PipelinesDeveloper Platforms

Industry Keywords

MDM PlatformsEntity ResolutionGolden Record Lifecycle ManagementData GovernanceHierarchical Data Management

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformInformaticaJavaKafkaMicroservicesPythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain AI-powered developer tools, engineering automation, and productivity accelerators
Build and maintain end-to-end MDM integration systems, including MuleSoft integrations, Airflow workflows, API orchestration, event-driven architectures, CDC, and batch pipelines
Implement entity resolution, golden record lifecycle management, hierarchy processing, data quality validation, and governance capabilities
Integrate third-party data providers including Dun & Bradstreet, Moody's, and Leadspace
Design and optimize data models, database schemas, APIs, and integration patterns for MDM business requirements
Build production-grade solutions with monitoring, alerting, operational supportability, and security by design
Drive adoption of AI-assisted software engineering practices
Participate in design reviews, code reviews, operational readiness reviews, and release activities
Troubleshoot production issues, conduct root cause analysis, and implement scalable solutions
Collaborate with globally distributed teams across multiple time zones
LMTS: architect end-to-end MDM integration systems and define technical strategy
LMTS: lead design reviews and establish engineering standards
LMTS: partner with product, program, architecture, and business stakeholders on roadmaps and delivery plans
LMTS: provide technical leadership across engineering and systems integrator teams

Requirements

What you’ll need

8+ years of experience in software engineering, data engineering, enterprise integration, or MDM platforms for SMTS
10+ years of progressive experience in enterprise integration, data engineering, MDM, or large-scale data platform development for LMTS
Proven experience leveraging modern AI-assisted development platforms such as Claude, Cursor, Windsurf, and GitHub Copilot
Strong understanding of Generative AI and agentic workflows
Strong hands-on experience with Informatica SaaS MDM and party data models
Strong hands-on development experience with Java, REST APIs, microservices, and enterprise integration patterns
Experience with 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
Related technical degree required
LMTS: deep expertise in entity resolution, golden record lifecycle, match/merge/survivorship, data quality, governance, and hierarchy management
LMTS: demonstrated technical leadership and ability to drive complex initiatives from design through delivery
Excellent communication and collaboration skills
Preferred: Salesforce Data Cloud, CRM platforms, Salesforce ecosystem technologies, corporate hierarchy data, Python-based frameworks, RAG, vector databases, AI agents, MCP frameworks, developer platforms, and relevant certifications

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Incentive compensation may be available for certain roles
Equity may be available for certain roles