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Match Group

Posted 2 days ago

Open

Senior Data Product Engineer

VancouverHybridFull-time

AI Summary

Designs and delivers data products and platforms for Match Group's dating brands, combining data engineering with product management to serve business and analytics teams.

About this role

Know where you belong!

Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.
When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week.

We're looking for a Sr. Data Product Engineer to join our new Match Group Core Data team. This new position is a hybrid role combining the technical expertise of a data engineer with the product-focused mindset of a product manager — ensuring data is effectively leveraged to build and improve data products for all brands and business units in Match Group.

The Core Data team is a service organization that delivers data and reporting solutions across the entire Match Group enterprise, supporting Marketing, Product, Finance, Accounting, Strategy, and Analytics teams for every brand (Tinder, Hinge, Match, OkCupid, PlentyOfFish, BLK, Chispa, and more).

How you'll make an impact:

  • Work with engineering teams to ensure data flows accurately from creation to presentation layers

  • Advocate for the Core Data team by championing best practices around scale, performance, and privacy

  • Improve the data technology stack through containerization, data modeling, ETL pipeline development, and building scalable/reliable solutions

  • Translate stakeholder needs into action items and deliverables

  • Create high-quality, business-ready data solutions suitable for non-engineers

  • Proactively brainstorm new metrics and data views for business partners

  • Maintain the data library — core metric definitions, sample data, access tips

  • Train brand data analysts to support data needs at their dating brand

  • Communicate regularly with key customers; maintain accurate release notes for platform changes

  • Represent internal customers — advocate for changes, resourcing, re-architecture, or blockers

  • Support existing on-prem infrastructure and help expand into the cloud (AWS/Databricks)

    • We could be a match if you have:

  • 5+ years of professional/industry experience
  • Expertise in SQL, data modeling, lakehouse architecture, and Python

  • Experience with Redshift, Airflow, AWS QuickSight, Databricks, Spark, and relational databases (e.g., SQL Server)

  • Ability to drive initiatives and articulate their value to engineering and stakeholders

  • Experience delivering data products from conception to delivery

  • Strong written and verbal communication skills

  • Experience facilitating workshops across disparate groups

  • Passion for designing elegant data solutions and platforms

    • Skills

    AirflowAWS QuickSightContainerizationDatabricksData ModelingETL Pipeline DevelopmentLakehouse ArchitecturePythonRedshiftSparkSQLSQL Server

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