At Viator, a leading travel platform, we believe that the most memorable experiences are made possible through data-driven insights. As a Principal Data Engineer on the Data Platform team, you will be at the forefront of creating innovative solutions that enable our company to harness the power of data to deliver personalized & unforgettable travel experiences to our customers. Join us in shaping the future of travel through cutting-edge data engineering & advanced analytics!

Role Overview:

As a Principal Data Engineer on the Viator Data Platform team, you will be responsible for designing, building, & maintaining the core data infrastructure & architecture that supports data-driven decision-making across our organization. You will collaborate closely with data analysts, software engineers, & other stakeholders to ensure that data is effectively & efficiently collected, processed, & made accessible for analytical purposes. You will play a crucial role in guiding the team in adopting best practices, exploring new technologies, & driving innovation in data engineering.

Key Responsibilities:

• Data Pipeline Architecture: Design & develop scalable, reliable, & efficient data pipelines that facilitate the collection, ingestion, & processing of diverse data from various sources, ensuring high data quality & availability.
• Data Modeling & Warehousing: Create & optimize data models that enable seamless integration of data from multiple sources into a centralized data warehouse or data lake, enabling data access & analysis for different business units.
• Data Governance & Security: Establish data governance frameworks & implement robust data security measures to ensure compliance with privacy regulations & protect sensitive information.
• Performance Optimization: Continuously monitor & fine-tune the data platform's performance to meet SLAs & optimize resource utilization, ensuring smooth & fast data access for analytical needs.
• Technology Evaluation: Stay up-to-date with industry trends, emerging technologies, & best practices in data engineering. Assess & recommend new tools & frameworks to improve data processing capabilities.
• Team Leadership & Mentorship: Provide technical leadership & mentorship to a team of data engineers, fostering a collaborative & innovative work environment.
• Cross-Functional Collaboration: Collaborate with data analysts, data scientists, & software engineers to understand their data requirements, offer data engineering support, & contribute to the development of data-driven products & solutions.
• Data Quality & Monitoring: Implement robust data quality checks & monitoring systems to ensure the accuracy, consistency, & reliability of data.
• Documentation & Knowledge Sharing: Create & maintain comprehensive documentation of data engineering processes, best practices, & technical standards. Facilitate knowledge sharing sessions with the broader team.

Qualifications & Experience:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 8 years of hands-on experience in data engineering, with a focus on building large-scale data platforms & data processing pipelines.
• Proficiency in programming languages such as Python, Java, or Scala, & experience with big data technologies like Hadoop, Spark, & Kafka.
• Strong experience with cloud-based data platforms, such as AWS, GCP, or Azure, including services like S3, MSK, ECS, or equivalent.
• In-depth knowledge of data modeling, data warehousing, & ETL/ELT processes.
• Familiarity with data governance & security best practices & compliance standards.
• Proven experience in performance optimization & tuning of data pipelines & database queries.
• Excellent leadership & communication skills, with the ability to collaborate effectively with cross-functional teams.
• Prior experience in mentoring & guiding junior data engineers is a plus.
• Experience in the travel industry or related domains is desirable but not mandatory.

Join the Viator Data Platform team & be part of an exciting journey to revolutionize the travel industry with data-driven insights & personalized experiences!