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Senior Data Architect

Senior Data Architect to design and implement data modeling initiatives.
Tripadvisor
On-Site
Portugal
Undisclosed salary
Job Description
Tripadvisor is seeking a Senior Data Architect to join their Data Engineering Team in Lisbon. The ideal candidate will be responsible for designing, implementing, and supporting large-scale data modeling and infrastructure initiatives. This role involves collaborating with various teams to create seamless and engaging experiences for users worldwide. The Senior Data Architect will play a crucial role in enhancing and streamlining how Tripadvisor models and leverages its data.

Responsibilities:
  • Design, build, deliver, and maintain high-performance data models.
  • Participate in data architecture strategy and innovation workstreams.
  • Align Product, Data Science, Machine Learning, Analytics, and Engineering teams on data model requirements.
  • Translate requirements into conceptual, logical, and physical data models.
  • Design efficient data structures and ensure normalization.
  • Ensure models comply with data governance policies and standards.
  • Maintain detailed documentation of data models and relationships.
  • Update data models as business requirements evolve.
  • Support streaming, microbatch, and batch processes.
  • Participate in on-call rotations and lead incident post-mortems.
  • Mentor individuals and build technical communities.

Requirements:
  • Extensive data modeling expertise.
  • Proficient experience with Snowflake, Knowledge Graphs (Neo4j), RDS, and NoSQL databases in AWS.
  • Solid understanding of design principles, performance tuning, and observability.
  • Proven track record in architecting high-availability data models.
  • Experience setting technical directions for next-generation data architecture.
  • Strong knowledge and practical experience in AWS.
  • Deep understanding of data analytics and data visualization.
  • Excellent ability to break down complex problems into simple solutions.
  • Computer Science degree or equivalent experience.

The role offers:
  • Opportunity to work on innovative solutions for complex technical problems at a petabyte scale.
  • Collaboration with Data Science, Machine Learning, Product, Engineering, and Analytics teams.
  • Contribution to data architecture strategy and innovation workstreams.
  • Participation in on-call rotations.
  • Career development and mentoring opportunities.
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