Expedia Group

Expedia Group

Director, Technology

Austin Domain 11 - HomeAway · Director

Sponsorship not specified$231k-$324kDetected 4 days ago
PythonSQLAWSGCPAzureCloud PlatformsCI/CDPlatform EngineeringMachine LearningSparkData EngineeringLLMsAgentic AILLMOpsA/B TestingComplianceSalesforceMarketoCRMRecruitingLeadershipCommunication

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 92 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 78%

Of 18 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 451 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

83 transfer filings in the last year, covering 83 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy.
  • From airlines and hotels to financial institutions and other travel platforms, we power smarter, faster, and more impactful travel solutions through the most connected marketplace in the world Make An Impact!
  • You will set the vision and execution strategy for the platforms, products, and services that connect customer, marketing, product, and operational data and enable responsible, scalable use of AI.

Responsibilities

  • Define architecture standards and make pragmatic build, buy, partner, and platform decisions that balance speed, scale, reliability, security, and cost.
  • Build and evolve scalable data pipelines, data products, APIs, integrations, services, workflow automation, and developer tooling across the MarTech ecosystem.
  • Partner with Analytics and business stakeholders to create trusted metrics, semantic models, and self-service capabilities that support better decisions.
  • Lead an innovation portfolio from problem discovery and prototyping through evaluation, productionization, or intentional shutdown-ensuring successful experiments become supported and measurable products.
  • Create alignment across stakeholders on roadmaps, priorities, dependencies, investment choices, risks, and trade-offs, and communicate progress clearly to senior leadership.
  • Build, lead, and develop a high-performing organization of engineering leaders and individual contributors across data, software, and innovation.
  • As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
  • Join us and build for travelers everywhere.

Requirements

  • 10+ years of experience in data engineering, software engineering, platform engineering, or a related discipline, including 3+ years leading managers or multi-disciplinary engineering teams.
  • Experience defining and executing technology strategy across complex, enterprise-scale environments.
  • Experience with SQL, Python, cloud platforms such as AWS, GCP, or Azure, and technologies such as Spark, CI/CD, observability, and infrastructure automation.
  • Experience establishing data quality, governance, security, privacy, reliability, responsible AI, and operational excellence practices.
  • Experience leading software delivery, production operations, incident management, modernization, and platform simplification.
  • Strong communication and influencing skills, with the ability to translate complex technical concepts and trade-offs for technical and non-technical audiences.
  • Experience with customer data platforms, identity resolution, consent management, audience activation, or personalization ecosystems.
  • Familiarity with responsible AI practices, including evaluation, explainability, safety, human oversight, and lifecycle governance.
  • Experience designing data products, semantic layers, metrics platforms, or self-service analytics capabilities.
  • Experience leading cloud migration, platform consolidation, technology simplification, or other multi-year modernization programs.
  • A track record of building and operating production-grade data platforms, pipelines, integrations, software services, and automation.
  • Strong knowledge of data architecture, data modeling, ETL/ELT, batch and streaming systems, APIs, event-driven design, orchestration, and distributed processing.
  • Experience integrating CRM, marketing automation, customer data, analytics, experimentation, and personalization platforms. Experience with Salesforce Marketing Cloud, Adobe Marketo, Eloqua, or comparable platforms is a plus.
  • Experience applying machine learning, generative AI, intelligent automation, or AI-enabled engineering practices in production or enterprise environments.
  • A track record of building high-performing teams, developing leaders, and creating effective partnerships across functions.
  • Sound judgment in balancing innovation and speed with sustainability, control, maintainability, and long-term platform health.
  • Preferred qualifications

Nice to have

  • Experience integrating CRM, marketing automation, customer data, analytics, experimentation, and personalization platforms.
  • Experience with Salesforce Marketing Cloud, Adobe Marketo, Eloqua, or comparable platforms is a plus.

Compensation

  • $231k-$324k

Benefits

  • Enable advanced analytics, experimentation, machine learning, generative AI, and intelligent automation through fit-for-purpose data and engineering foundations.
  • Establish an operating model that balances committed delivery, platform health, technical debt reduction, modernization, and responsible experimentation.

Company info

  • Expedia Group B2B connects partners across the travel industry to our leading technology, supply, and services - helping them deliver seamless travel experiences to their customers.
  • From airlines and hotels to financial institutions and other travel platforms, we power smarter, faster, and more impactful travel solutions through the most connected marketplace in the world
  • Make An Impact!
  • As the Director, Data Engineering, you will lead the Data Engineering, Software Engineering, AI, and Innovation capabilities supporting Expedia Group's Marketing Automation and MarTech organization.
  • Reporting to the head of Digital Operations, you will ensure that data, software, and AI capabilities are trusted, secure, scalable, and easy to use.
  • You will partner with Marketing, MarTech, Analytics, Product, Technology, and responsible AI stakeholders to improve customer engagement, campaign effectiveness, operational efficiency, and the speed at which the organization can bring new ideas to life.
  • Leadership Approach:
  • You are strategic, outcome-oriented, technically credible, and comfortable operating across business and technology.
  • You create clarity, make thoughtful decisions, hold teams accountable for reliability, responsible AI, and customer value, and develop an inclusive environment where people can do their best work.
  • You are curious about what's next while remaining pragmatic about risk, cost, scale, and trust.
  • At Expedia Group, we help travelers explore the world, one journey at a time.

Equal opportunity

  • Expedia is committed to creating an inclusive work environment with a diverse workforce.
  • This employer participates in E-Verify.
  • The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.

Visa & Work Authorization

  • The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
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This listing is sourced directly from Expedia Group's careers page and normalized into a canonical job model.