About the role

Senior Data Product Engineer building scalable data products for Match Group’s global dating platforms. Improving data architecture, pipelines, reporting, and cloud infrastructure across Tinder, Hinge, Match, and other brands.

Responsibilities

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, including core metric definitions, sample data, and access tips
Train brand data analysts to support data needs at their dating brand
Communicate regularly with key customers and maintain accurate release notes for platform changes
Represent internal customers by advocating for changes, resourcing, re-architecture, or blocker resolution
Support existing on-prem infrastructure and help expand into AWS/Databricks cloud infrastructure

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