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Tinder

Dating app platform with freemium model

Data Product Engineer - Data Enabling

Data Management +1Confirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listedHybrid

About the Job

Requirements

  • Knowledge and experience designing and implementing data models appropriate to business and analytics use cases.
  • Experience using SQL for data analysis and aggregation to contribute to business decisions or improvements.
  • Experience optimizing query performance and reducing costs or scan volume based on understanding cloud data warehouse characteristics.
  • Practical experience building, testing, and operating data pipelines using dbt or similar data transformation frameworks.
  • Experience operating data pipelines with a job orchestrator such as Dagster or Airflow.
  • Knowledge and practical experience defining data quality and designing tests and monitoring to maintain it.
  • Experience implementing data analysis, processing scripts, or jobs using Python.
  • Foundational knowledge of data architecture and data governance.
  • Foundational knowledge of cloud platforms such as AWS or Google Cloud Platform.
  • Ability to proactively communicate across engineering, product management, business intelligence, and business teams, organize issues, and build consensus.
  • Business-level or higher Japanese proficiency.

Responsibilities

  • Gather business and analytics needs and design data models that both people and AI agents can accurately understand and query.
  • Design, implement, and operate a semantic layer that centrally manages metric definitions and calculation logic so AI agents can use it reliably.
  • Develop an ontology and business-context foundation that structures relationships between business concepts and metrics.
  • Implement and operate layered data pipelines based on the designed data models using Dagster and dbt.
  • Define data quality based on DMBOK and promote test design, automation, Data SRE-style quality monitoring, and SLI/SLO operations.
  • Build a feedback loop to monitor and evaluate the accuracy of AI-agent SQL generation and responses and continuously improve it.
  • Manage metadata and maintain documentation using a data catalog.
  • Design and operate data-use guidelines and access controls, and respond to data-related monitoring issues.
  • Enable non-engineers to use AI agents for autonomous, everyday data utilization.

Desired Qualifications

  • Proactively collaborate and communicate across multiple teams.
  • Take strong ownership of the data domain and propose issues and enablement initiatives involving the wider organization.
  • Proactively keep up with relevant technology trends such as AI agents, semantic layers, and ontologies, and pursue their application to products and platforms.
  • Maintain an ideal target state while discussing practical gaps and implementing improvements incrementally.

About the Company

Tinder

Dating app platform with freemium model

Tinder is an online dating platform where users swipe right to like or left to pass on profiles, which can lead to matches and conversations. It operates globally with hundreds of millions of users across many countries and languages, using a freemium model with paid tiers (Tinder Plus, Tinder Gold, Tinder Platinum) and in-app purchases for extras like unlimited swipes and the passport feature to swipe around the world. It stands out through its massive global user base, broad language support, a tiered premium structure, and a strong brand presence backed by campaigns and awards. Its goal is to help people meet and start conversations at scale by making it easy to discover potential partners around the world.

Company size
1,001-5,000
Company stage
Early VC
Total funding
$750M
Headquarters
West Hollywood, CA
Founded
2012

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