Director of Technology

$224,000 - $313,500/Yr

Expedia - San Francisco, CA

Full-time - Senior

Hybrid - San Francisco, CA

Administrative and Support Services

About the position

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.

Responsibilities

• 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.
• Lead efforts to integrate data across multiple marketing and sales platforms, including CRM, email, automation platforms, and analytics tools.
• Collaborate with MarTech, analytics, and IT teams to enhance the data flow between marketing platforms.
• Optimize data pipeline performance and automate processes to improve speed, reliability, and cost-efficiency.
• Build, lead, and mentor a team of data engineers, ensuring that they have the skills and resources needed to succeed.
• 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.
• Partner with marketing, analytics, IT, and product teams to understand data requirements and deliver solutions.
• Serve as the primary point of contact for data-related needs within the marketing department.
• Develop a robust data infrastructure to support analytics teams in generating insights and visualizations.
• Collaborate with analytics teams to standardize key metrics, KPIs, and dashboards.
• Enable advanced analytics capabilities, such as predictive modeling and machine learning.
• Stay current with data engineering trends, MarTech advancements, and emerging technologies.
• Drive continuous improvement initiatives to refine data engineering processes.
• Lead or participate in data-related pilot projects.

Requirements

• Bachelor's or master's degree in computer science, Data Engineering, Information Systems, or a related field.
• 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, pipelines, and integrations for MarTech and marketing automation environments.
• Deep knowledge of database systems, data modeling, and ETL/ELT processes.
• Proficiency with data integration and processing tools, such as SQL, Python, Apache Spark.
• Experience with cloud-based data platforms (e.g., AWS, GCP, Azure).
• Strong understanding of marketing technology platforms (e.g., Salesforce, Adobe Marketing Cloud, Marketo, Eloqua).
• Ability to communicate complex data concepts and engineering practices to both technical and non-technical stakeholders.
• Excellent problem-solving skills, with a proactive and solution-oriented approach.
• Strong leadership skills with a track record of building and developing high-performing teams.

Nice-to-haves

• Experience with machine learning, predictive analytics, and AI-driven personalization.
• Familiarity with data privacy regulations (e.g., GDPR, CCPA) and best practices for data security.
• Background in customer data (CDP) or identity resolution platforms.

Benefits

• Exciting travel perks
• Generous time-off
• Parental leave
• Global hybrid work setup
• Career development resources