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Senior/Lead Data Engineer, MDM — Salesforce Onsite

Build AI-assisted developer tools and enterprise master data management integrations at Salesforce. The role covers entity resolution, data governance, APIs, event-driven pipelines, and technical leadership.

USStatele Unite ale AmericiiCACaliforniaNYNew YorkWAWashington
148.500 $ – 260.100 $ / an
La sediuNormă întreagăSeniorLiderLimbă Obligatorie: englezăInginer de date
AirflowAWSAzureCloudETLGoogle Cloud PlatformInformaticaJavaKafkaMicroserviciiPythonSQL

Descriere

  • Create and maintain AI-assisted developer tools, engineering automation, and productivity solutions
  • Develop end-to-end master data management integrations using MuleSoft, Airflow, API orchestration, event-driven architecture, change data capture, and batch pipelines
  • Deliver entity resolution, golden record lifecycle, hierarchy management, data quality, and governance capabilities
  • Connect enterprise systems with third-party data providers such as Dun & Bradstreet, Moody's, and Leadspace
  • Design and improve data models, database schemas, APIs, and integration patterns for MDM requirements
  • Build production-ready systems with monitoring, alerting, operational support, and security built in
  • Promote AI-assisted software engineering practices across development teams
  • Contribute to design reviews, code reviews, operational readiness assessments, and releases
  • Investigate production incidents, perform root cause analysis, and deliver scalable fixes
  • Work with globally distributed teams across multiple time zones
  • For LMTS: architect end-to-end MDM integrations and set technical direction
  • For LMTS: lead design reviews and define engineering standards
  • For LMTS: collaborate with product, program, architecture, and business stakeholders on roadmaps and delivery plans
  • For LMTS: provide technical leadership to engineering and systems integration teams

Cerințe

  • At least 8 years of software engineering, data engineering, enterprise integration, or MDM platform experience for SMTS-level roles
  • At least 10 years of progressive experience in enterprise integration, data engineering, MDM, or large-scale data platform development for LMTS-level roles
  • Experience using AI-assisted development platforms such as Claude, Cursor, Windsurf, and GitHub Copilot
  • Strong knowledge of generative AI and agentic workflows
  • Hands-on experience with Informatica SaaS MDM and party data models
  • Strong development experience with Java, REST APIs, microservices, and enterprise integration patterns
  • Experience with MuleSoft integrations, API orchestration, Airflow, ETL/ELT pipelines, and large-scale data engineering
  • Experience with Kafka or comparable event-streaming platforms, change data capture, and event-driven systems
  • Experience developing cloud-native applications with AWS, Google Cloud, or Azure
  • Strong SQL, data modeling, database design, and distributed data processing skills
  • A related technical degree is required
  • For LMTS: deep expertise in entity resolution, golden records, match/merge/survivorship, data quality, governance, and hierarchy management
  • For LMTS: demonstrated technical leadership delivering complex initiatives from design through implementation
  • Strong communication and collaboration skills
  • Preferred experience includes Salesforce Data Cloud, CRM platforms, Salesforce ecosystem technologies, corporate hierarchy data, Python frameworks, RAG, vector databases, AI agents, MCP frameworks, developer platforms, and relevant certifications

Beneficii

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

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