À propos de ce poste Senior Data Product Engineer chez Matchgroup
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.
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:
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
- Generous vacation, flex days, professional development days
- RRSP matching, and employee stock purchase plan
- Professional development budget and unlimited access to Udemy from day one
- Match Group mentorship program
- Parental leave top up and fertility preservation benefits
- Extended health & dental benefits from day one
- Corporate ClassPass membership and other wellness benefits
