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2 часа назад

Senior Lead Marketing Data Platform Architect (AI)

132 232 - 176 310$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Lead Marketing Data Platform Architect (AI): Defining and evolving Lumen's marketing data platform with an accent on Databricks lakehouse architecture, governed data products, AI-ready structures, and marketing technology integration. Focus on designing scalable data architectures, establishing observability and governance standards, and building automated quality, testing, deployment, and agentic operational frameworks.

Location: Remote, United States

Salary: $132,232–$176,310, $138,844–$185,124, or $145,456–$193,940 annually, depending on state.

Company

hirify.global provides secure, high-performance fiber connectivity and infrastructure for enterprises, governments, and communities, including cloud, edge, and AI workloads.

What you will do

  • Own the architectural vision, governance, performance, and long-term evolution of the marketing data platform.
  • Lead Databricks design, implementation, and operational strategy for marketing data and intelligence.
  • Design scalable data architectures and reusable data products for analytics, reporting, customer intelligence, personalization, activation, and AI use cases.
  • Establish standards for data modeling, ingestion, orchestration, observability, testing, security, metadata, lineage, schema control, and lifecycle management.
  • Drive modernization, AI-native and agentic operations, automated quality controls, monitoring, validation, testing, deployment, and operational intelligence.
  • Partner with Adobe, Salesforce, engineering, analytics, and business stakeholders; lead architecture reviews and provide technical guidance.

Requirements

  • 8+ years of experience in data engineering, platform architecture, data solutions architecture, or related disciplines.
  • Deep hands-on Databricks expertise, including Delta Lake, Spark, data engineering, governance, orchestration, and platform architecture.
  • Experience designing and implementing modern lakehouse architectures and enterprise-scale data platforms.
  • Advanced data modeling, SQL, and data architecture expertise.
  • Experience designing AI-driven or AI-native data solutions and implementing automation, testing, quality controls, and deployment practices.
  • Strong understanding of metadata management, lineage, observability, data governance, and platform operations.
  • Advanced understanding of Adobe's digital ecosystem, including Web SDK, Launch/Tags, Customer Journey Analytics, and Adobe Experience Platform.
  • Advanced understanding of Salesforce architecture, standard and custom object models, and customer data ecosystems.
  • Demonstrated ability to translate business requirements into scalable, secure, governed technology solutions.
  • Excellent communication and stakeholder management skills for influencing technical and business audiences.

Nice to have

  • Enterprise data platform modernization or transformation experience.
  • Experience with agentic or AI-assisted operational frameworks, MCP, Copilot, machine learning, or generative AI in enterprise data environments.
  • Experience with DataOps, DevOps, infrastructure-as-code, CI/CD, and automated testing frameworks.
  • Familiarity with Marketo, Demandbase, ZoomInfo, Dun & Bradstreet, Quantum Metric, customer data platforms, data warehousing, and advanced marketing analytics.
  • Azure expertise, including Key Vault, Azure Monitor, networking, and cloud governance.
  • Relevant Databricks, Microsoft Azure, Adobe, or Salesforce certifications.

Culture & Benefits

  • Remote position in the United States with a high-accountability environment, clear expectations, trust, and shared accountability.
  • Health, life, voluntary lifestyle, and other benefits supporting physical, mental, emotional, and financial wellbeing.
  • Additional bonus structures may include short-term incentives, long-term incentives, and/or sales compensation.
  • Employment is subject to a background screening that may include criminal records, motor vehicle reports, or drug screening depending on position requirements.

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