New

Tech Lead, Wikidata Platform

Full-time

Remote

Deadline

July 9, 2025

About the organization

Wikimedia Logo

Wikimedia Foundation

Organization type

Philanthropy

In A Nutshell

Location

Remote

Salary

$129,347-$200,824

Job Type

Full-time

Experience Level

Mid-level

Deadline to apply

July 9, 2025

Lead the design, development, and deployment of Wikidata’s query platform architecture.

Responsibilities

  • Stability, performance, and scalability of the Wikidata Query Service (WDQS) architecture and data pipeline.
  • Articulating a vision for Wikidata Platform’s query infrastructure that supports continued growth and future sustainability.
  • Developing new query methods, APIs, algorithms, and indexing strategies to optimize graph search capabilities for priority use cases.
  • Collaborating with the Staff Product Manager, Engineering Manager, and other cross-functional colleagues to design system requirements and ship iterative improvements to meet user needs.
  • Maintaining an understanding of current developments in structured knowledge representation technologies in order to propose innovative solutions.
  • Persevering through setbacks to ensure team goals are met, or communicating when a pivot may be necessary.
  • Developing an understanding of our movement and how it drives our work.
  • Developing best practices for interacting with platform query services.
  • Performing data analysis to uncover insights and patterns.

Skillset

  • 8+ years of experience building and scaling API-driven data platform products with technical userbase.
  • 4+ years of experience in data engineering, specifically with production deployments at scale.
  • Deep understanding of database and knowledge graph representation technologies and standards.
  • Proficiency in Java, C++, or other programming languages for database interactions.
  • Ability to set up, scale, and investigate systems is more important than expertise in a particular language.
  • Experience navigating issues associated with privacy-sensitive data and familiarity with security best practices in implementing database query services.
  • Past success in breaking down ambiguous projects into clear tasks.
  • Ability to work with multiple stakeholder teams to deliver results through lateral influence and collaboration.
  • Knowledge of highly scalable data processing frameworks (Spark, Kafka, Flink, etc.)

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