Responsibilities
- Manage end-to-end operations of mission-critical data pipelines, including defining service level agreements, performance tracking, monitoring, alerts, anomaly detection, and leading incident resolution and root cause investigations.
- Develop scalable and reusable data models and curated datasets to support analytics, data science, CRM, machine learning, and other internal data consumers.
- Build and maintain reliable ETL/ELT pipelines that process large-scale data across Snowflake, BigQuery, and similar platforms.
- Design and operate both streaming and batch processing systems for real-time and analytical use cases, while simplifying outdated data ingestion methods.
- Lead efforts to standardize data warehouse practices and reduce technical debt during consolidation into a unified warehouse.
- Champion enterprise-wide data integrity, validation, documentation, and governance, along with tools that make compliance the default.
- Leverage AI to improve internal workflows, such as creating reusable automation for pipeline upgrades, and share these solutions across teams.
- Define and evolve best practices in data modeling, pipeline architecture, testing, and observability.
- Write and review production-grade Java and Python code across various components of the data platform, from ingestion to internal tools.
- Design and scale distributed processing systems using Flink, Spark, and Kafka for real-time and batch workloads.
- Take full ownership of software engineering lifecycle stages: design, implementation, quality assurance, and ongoing maintenance, with frequent production deployments via CI/CD.
- Architect and optimize cloud infrastructure on AWS, balancing performance, scalability, and cost efficiency.
- Lead large-scale technical initiatives from concept to delivery, including specifications, design reviews, planning, and cross-team coordination.
- Ensure high code and data quality through active participation in reviews and by mentoring engineers across teams.
- Transform ambiguous, cross-functional data challenges into clear, standardized solutions and communicate effectively with technical and non-technical stakeholders.
- Operate independently in a fast-moving, globally distributed environment with a focus on continuous improvement.
- Collaborate with Product, Design, Analytics, and Data Science leaders to shape requirements, question assumptions constructively, and deliver impactful solutions.
Benefits
- Competitive total compensation including base pay and annual bonus
- Flexible remote work model with optional on-site collaboration in select locations
- Adaptable work hours supporting intentional work-life balance
- Annual matching for qualifying charitable donations
- Yearly financial support for approved educational programs
- Annual personal lifestyle benefit for wellness, travel, or personal use
- Travel discounts and benefits as part of professional development
- Access to resources and programs supporting personal well-being
- Comprehensive health coverage with competitive premiums
- Rewards for successful employee referrals
Compensation
Competitive compensation packages, including base salary, annual bonus, and additional incentives
Work Arrangement
Remote (Worldwide)
Team
Global, distributed team operating in a fast-paced environment with a strong focus on collaboration, innovation, and continuous improvement
Our Cultural Pillars
- Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us.
- Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges.
- We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements.
Accessibility and Inclusion
- Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own.
- Our ED&I strategy shapes how we approach our people, culture, business, and reputation.
- Tripadvisor Group strives to embed inclusion and belonging across all our brands.
- We strive to create an accessible and inclusive experience for all candidates.
- If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.
- If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com.
Other
- Work-life balance is ingrained in the culture by design.
- Flexible schedule.
- Trust and accountability are emphasized.
- Travel perks: discounts and more provided.
- Employee assistance program available.
- Generous referral scheme.
Not specified
