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Tripadvisor // enabling travelers to plan & book trips
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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, & 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 & experiences, so we can collectively revolutionize travel & together find the good out there.

This is a leadership position that will have exposure across the entire business, influencing the vision & 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 & various content plus GenAI offerings. 

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

What youll do

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

Key Responsibilities:

  • Leadership & Team Management:
    • Lead & manage a geo-distributed teams of data engineers, data architects, & ETL (Extract, Transform, Load) specialists.
    • Provide guidance, mentorship, & professional development opportunities to team members.
    • Foster a collaborative & high-performance work culture within the data engineering team.
  • Data Architecture & Infrastructure:
    • Define & implement the data architecture & infrastructure strategy.
    • Oversee the design & development of data pipelines, data warehouses, & data lakes.
    • Ensure scalability, reliability, & performance of data systems.
  • Data Quality & Governance:
    • Establish & enforce data quality standards & data governance practices.
    • Implement data validation & cleansing processes to maintain high-quality data.
    • Ensure compliance with data privacy & security regulations.
  • Data Integration & ETL:
    • Manage the development of ETL processes to extract, transform, & load data from various sources.
    • Integrate data from diverse systems & sources into a centralized repository.
    • Optimize data integration workflows for efficiency & accuracy.
  • Technology Stack Management:
    • Evaluate & select data engineering tools & technologies.
    • Keep up-to-date with industry trends & best practices.
    • Manage relationships with vendors & third-party service providers.
  • Data Collaboration:
    • Collaborate with data science & Analytics Leaders, & business stakeholders to understand data requirements.
    • Ensure that data is accessible to those who need it for analysis & reporting.
  • Budget & Resource Management:
    • Develop & manage the data engineering budget.
    • Allocate resources effectively to meet project & 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, & data integration.
  • Strong leadership & team management skills.
  • Proficiency with data engineering tools & technologies (e.g., SQL, Hadoop, Spark, data warehouses, ETL tools).
  • Excellent problem-solving & analytical abilities.
  • Knowledge of data privacy & security regulations.
  • Strong communication & 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 AccessibleRecruiting@Tripadvisor.com and let us know the nature of your request . Please include the job requisition number in your message.

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#TRIPADVISOR

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