Senior Data Product Engineer

Match Group

. Work with engineering teams to ensure data flows accurately from creation to presentation layers .

Posted 9/21/2026full-timeVancouver • CanadaSenior💰 CA$135,000 - CA$143,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL, Data Modeling, and Lakehouse Architecture while delivering high-quality data solutions. Proficient in driving initiatives and communicating effectively with stakeholders to support data needs and enhance data technology stacks.

Highest-signal resume keywords

SQL ExpertiseData ModelingLakehouse ArchitecturePython ProgrammingAWS/Databricks Cloud Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingLakehouse ArchitecturePythonETL Pipeline DevelopmentData Solutions DesignMetrics DevelopmentData Library MaintenanceRelational DatabasesContainerization

Soft Skills

Strong Communication SkillsWorkshop FacilitationStakeholder AdvocacyInitiative Driving

Tools & Technologies

RedshiftAirflowAWS QuickSightDatabricksSparkSQL Server

Industry Keywords

Data Technology StackData ProductsBusiness-Ready Data SolutionsPerformance Best PracticesPrivacy Best Practices

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSCloudETLPythonSparkSQL

About the role

Key responsibilities & 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, 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

Requirements

What you’ll need

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

Benefits

Comp & perks

Generous vacation, flex days, professional development days
RRSP matching
Employee stock purchase plan
Professional development budget
Unlimited access to Udemy from day one
Match Group mentorship program
Parental leave top up
Fertility preservation benefits
Extended health & dental benefits from day one
Corporate ClassPass membership
Other wellness benefits