Salesforce
Salesforce
Salesforce kompaniya ma’lumotlari va jamoalarini integratsiyalashgan, sun’iy intellekt asosidagi tizim orqali birlashtiradigan mijozlar bilan munosabatlarni boshqarish platformasiga yo‘naltirilgan bulutli dasturiy ta’minot ishlab chiqadi. Uning mahsulotlari savdo, mijozlarga xizmat ko‘rsatish va marketing jarayonlarini qo‘llab-quvvatlaydi, yechimlari esa kichik va o‘rta bizneslardan tortib yirik tashkilotlargacha bo‘lgan kompaniyalar uchun mo‘ljallangan. Salesforce shuningdek, sohaga yo‘naltirilgan vositalar, Trailhead o‘quv resurslari va CRM platformasi imkoniyatlarini kengaytiradigan AppExchange ilovalarini taqdim etadi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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