Senior Director – Head of Data Engineering - US Remote position with occasional visits to Needham HQ

Who we are:

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there.

This is a leadership position that will have exposure across the entire business, influencing the vision and implementation of Data Engineering to help business teams drive substantial financial impact with data as a core company asset while helping consumers leverage our product offerings like trip planning, experiences, media, hotels, restaurants, cruise and various content plus GenAI offerings. 

More specifically, Head of Data Engineering is a senior-level leadership position responsible for overseeing and leading the data engineering team within Tripadvisor. This team plays a crucial part in managing the data infrastructure, creating data assets and data products across the company, ensuring data quality and governance, while facilitating data-driven decision-making in partnership with analytics, data science and machine learning teams.

What you’ll do

The Head of Data Engineering is responsible for managing and leading the data engineering team to design, build, and maintain data pipelines, data warehousing, and data infrastructure to support the organization's data needs. This role ensures data quality, availability, and accessibility for various stakeholders, enabling data-driven decision-making across the company

Key Responsibilities:

  • Leadership and Team Management:
    • Lead and manage a geo-distributed teams of data engineers, data architects, and ETL (Extract, Transform, Load) specialists.
    • Provide guidance, mentorship, and professional development opportunities to team members.
    • Foster a collaborative and high-performance work culture within the data engineering team.
  • Data Architecture and Infrastructure:
    • Define and implement the data architecture and infrastructure strategy.
    • Oversee the design and development of data pipelines, data warehouses, and data lakes.
    • Ensure scalability, reliability, and performance of data systems.
  • Data Quality and Governance:
    • Establish and enforce data quality standards and data governance practices.
    • Implement data validation and cleansing processes to maintain high-quality data.
    • Ensure compliance with data privacy and security regulations.
  • Data Integration and ETL:
    • Manage the development of ETL processes to extract, transform, and load data from various sources.
    • Integrate data from diverse systems and sources into a centralized repository.
    • Optimize data integration workflows for efficiency and accuracy.
  • Technology Stack Management:
    • Evaluate and select data engineering tools and technologies.
    • Keep up-to-date with industry trends and best practices.
    • Manage relationships with vendors and third-party service providers.
  • Data Collaboration:
    • Collaborate with data science and Analytics Leaders, and business stakeholders to understand data requirements.
    • Ensure that data is accessible to those who need it for analysis and reporting.
  • Budget and Resource Management:
    • Develop and manage the data engineering budget.
    • Allocate resources effectively to meet project and organizational goals.

Skills & Experience:

Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Information Technology, Data Science).

  • Proven experience in data engineering, including ETL, data warehousing, and data integration.
  • Strong leadership and team management skills.
  • Proficiency with data engineering tools and technologies (e.g., SQL, Hadoop, Spark, data warehouses, ETL tools).
  • Excellent problem-solving and analytical abilities.
  • Knowledge of data privacy and security regulations.
  • Strong communication and collaboration skills.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) is often preferred.
  • Industry-specific certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer) may be a plus.

If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request . Please include the job requisition number in your message.








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