Senior Data Product Engineer, Core Data Platform

Match Group; Vancouver; Hybrid; CAD 135,000 - 143,000; Full time

Benefits offered by this job

Generous vacation

RRSP matching

Udemy access

Mentorship program

Parental leave top up

Extended health & dental benefits

ClassPass wellness

Job summary

Match Group is seeking a Sr. Data Product Engineer to join the new Core Data team in a hybrid role combining data engineering with product mindset. You will ensure data flows across Tinder, Hinge, Match and more, delivering scalable data products for marketing, product, finance, and analytics teams worldwide.

The role focuses on data modeling, ETL, and cloud expansion (AWS/Databricks), with a strong emphasis on governance, privacy, and stakeholder collaboration across brands.

Qualifications

• 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.

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 — 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).

Skills

SQL

Python

Data modeling

Lakehouse architecture

Databricks

Spark

Redshift

Airflow

AWS QuickSight

SQL Server

Tools

Databricks

Redshift

Airflow

Spark

SQL Server

AWS QuickSight

Job description

Match Group is seeking a Sr. Data Product Engineer to join the new Core Data team in a hybrid role combining data engineering with product mindset. You will ensure data flows across Tinder, Hinge, Match and more, delivering scalable data products for marketing, product, finance, and analytics teams worldwide.

The role focuses on data modeling, ETL, and cloud expansion (AWS/Databricks), with a strong emphasis on governance, privacy, and stakeholder collaboration across brands.