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Vancouver, British Columbia, Canada
Hybrid
We're looking for a Sr. Data 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).
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)
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