Director, Data Engineering and Technology

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

As the Director of Data Engineering for the Marketing Automation and MarTech team, you will play a key leadership role in shaping and executing data strategies that drive customer engagement, campaign effectiveness, and marketing efficiency across the organization. Reporting to the head of the Digital Operations team, you will oversee data infrastructure, integration, and analytics operations, ensuring data quality, availability, and insights to enable effective marketing automation and personalized customer experiences.

Key Responsibilities:

Data Strategy & Architecture:

• Develop and execute a scalable data engineering strategy to support marketing automation, personalization, and MarTech initiatives.
• Design and oversee data architecture, pipelines, and ETL processes to ensure high performance, data accuracy, and reliability.
• Ensure compliance with data governance policies, security standards, and regulatory requirements across all marketing data operations.

Integration & Data Flow Optimization:

• Lead efforts to integrate data across multiple marketing and sales platforms, including CRM, email, automation platforms, and analytics tools, such as Salesforce, Adobe Marketing Cloud, and Marketo.
• Collaborate with MarTech, analytics, and IT teams to enhance the data flow between marketing platforms, ensuring seamless data access and integration for campaigns and reporting.
• Optimize data pipeline performance and automate processes to improve speed, reliability, and cost-efficiency.

Team Leadership & Development:

• Build, lead, and mentor a team of data engineers, ensuring that they have the skills and resources needed to succeed in a fast-paced environment.
• Foster a culture of innovation, continuous improvement, and proactive problem-solving within the team.
• Drive the hiring, onboarding, and professional development of data engineering talent to support team expansion and evolving business needs.

Collaboration & Stakeholder Management:

• Partner with marketing, analytics, IT, and product teams to understand data requirements and deliver solutions aligned with business goals.
• Serve as the primary point of contact for data-related needs within the marketing department, providing clear communication and updates to leadership and cross-functional teams.
• Ensure alignment on data strategy and roadmaps with other technology and business leaders, especially in areas of customer data and personalization.

Data Analytics & Insights Enablement:

• Develop a robust data infrastructure to support analytics teams in generating insights and visualizations that enhance decision-making in marketing.
• Collaborate with analytics teams to standardize key metrics, KPIs, and dashboards, providing a unified view of marketing performance.
• Enable advanced analytics capabilities, such as predictive modeling and machine learning, to drive more precise targeting and personalization efforts.

Innovation & Continuous Improvement:

• Stay current with data engineering trends, MarTech advancements, and emerging technologies that can enhance the effectiveness and efficiency of marketing operations.
• Drive continuous improvement initiatives to refine data engineering processes and leverage new tools or frameworks that support automation and scalability.
• Lead or participate in data-related pilot projects, testing new solutions and capabilities that could enhance marketing automation and analytics.

Qualifications:

• Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or a related field; relevant certifications are a plus.
• 10+ years of experience in data engineering, with a minimum of 3 years in a leadership role.
• Proven experience in building and managing data architectures, pipe