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8 дней назад

Director, Technology (Data Engineering)

231 000 - 323 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
director
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
Director, Technology (Data Engineering): Leading data engineering, software engineering, AI, and innovation capabilities for Expedia Group’s Marketing Automation and MarTech organization with an accent on scalable data platforms, responsible AI, and enterprise technology strategy. Focus on building data pipelines, APIs, integrations, automation, and production AI foundations while developing high-performing engineering organizations and managing modernization, reliability, security, and cost.

Location: Austin, Texas, United States

Salary: $231,000–$323,500 annual total cash range, with potential pay up to $369,500 based on sustained performance.

Company

hirify.global is a global travel company connecting travelers, partners, and advertisers through consumer brands, B2B travel technology, and travel advertising services.

What you will do

  • Set and execute multi-year data and technology strategy for Marketing Automation, MarTech, personalization, customer engagement, and Digital Operations.
  • Lead data engineering, software engineering, AI, innovation, experimentation, and emerging technology capabilities.
  • Build and evolve scalable data pipelines, data products, APIs, integrations, workflow automation, and developer tooling.
  • Establish practices for data quality, observability, lineage, governance, privacy, security, reliability, and incident response.
  • Enable machine learning, generative AI, intelligent automation, experimentation, and responsible AI adoption.
  • Build and develop a high-performing organization of engineering leaders and individual contributors while managing roadmaps, modernization, costs, and technical debt.

Requirements

  • 10+ years of experience in data engineering, software engineering, platform engineering, or a related discipline, including 3+ years leading managers or multidisciplinary engineering teams.
  • Experience defining technology strategy and operating production-grade data platforms, pipelines, integrations, software services, and automation at enterprise scale.
  • Strong knowledge of data architecture, data modeling, ETL/ELT, batch and streaming systems, APIs, event-driven design, orchestration, and distributed processing.
  • Experience with SQL, Python, cloud platforms such as AWS, GCP, or Azure, Spark, CI/CD, observability, and infrastructure automation.
  • Experience with data governance, security, privacy, responsible AI, production operations, incident management, modernization, and platform simplification.
  • Strong communication, influencing, organizational leadership, and cross-functional partnership skills.

Nice to have

  • Experience with Salesforce Marketing Cloud, Adobe Marketo, Eloqua, customer data platforms, identity resolution, consent management, audience activation, or personalization ecosystems.
  • Experience with generative AI, predictive analytics, AI agents, model operations, LLM operations, or AI-enabled engineering productivity.
  • Familiarity with GDPR, CCPA, responsible AI governance, semantic layers, metrics platforms, self-service analytics, and cloud migration programs.
  • Experience managing strategic technology vendors and working in global, matrixed, consumer-facing, or high-volume digital environments.

Culture & Benefits

  • Supportive environment built around traveler-first, ownership, operational excellence, and collaborative behaviors.
  • Medical, dental, and vision coverage, paid time off, and an Employee Assistance Program.
  • Wellness and travel reimbursement, travel discounts, and IATAN membership.
  • Inclusive and accessible recruiting experience with accommodation support.

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