Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$132к-176к/год
$150к$180кмедиана$210к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $4.2к/мес ($3.4к - $5.9к)
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У роли понятный архитектурный фокус и ответственность за крупную платформу данных, но сочетание требований к Databricks, Adobe, Salesforce и AI делает её довольно требовательной.
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Широкий набор требованийСовременный стек данныхФокус на AI
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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