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Salary
$96k – $102k per year
Location
Remote/Hybrid (Vancouver, Canada)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Match Group is an American technology and social media company headquartered in Dallas, Texas, founded in 2009 as a corporate entity for its various dating platforms. The company owns and operates the world's largest portfolio of online dating services, including prominent brands such as Tinder, Match.com, Hinge, Meetic, OkCupid, and PlentyOfFish. It provides these digital platforms in over 40 languages to a global user base and maintains a significant presence in the international technology market as a publicly traded corporation on the NASDAQ.

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

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