Senior Data Product Engineer at Match Group

Vancouver, British Columbia, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Expertise in SQL, Data Modeling, Lakehouse Architecture, and Python
Experience with Redshift, Airflow, AWS QuickSight, Databricks, Spark, and relational databases such as SQL Server
Capability to drive initiatives and articulate their value to engineering and other stakeholders
Experience delivering data products from conception to delivery
Great communication skills, both written and verbal
Experience facilitating workshops with disparate groups to reach common understanding and priorities
Passionate about designing elegant data solutions and platforms
5+ years of professional/industry experience

Responsibilities

Work with engineering teams to ensure data is flowing accurately from data creation to presentation layers
Become an advocate for the Core Data team by developing and championing data best practices including scale, performance, and privacy considerations
Improve the data technology stack through containerization, data modeling, developing ETL pipelines, and building scalable/reliable solutions
Work with stakeholders and translate their needs and expectations into action items and deliverables
Create high-quality, business-ready data solutions suitable for consumption by non-engineers
Proactively brainstorm new metrics and data views for business partners to drive critical decision making
Maintain the data library with core metric definitions, sample data, and access tips
Conduct training sessions with brand data analysts to ensure they are equipped to support data needs at their dating brand
Communicate regularly with key customers and maintain accurate release notes for changes to the central data platform
Represent the voice of internal customers - advocate for changes, resourcing, re-architecture, or other blockers to high-quality, highly-available data
Support existing on-prem infrastructure and help expand processes into the cloud (AWS/Databricks)

Skills

Key technologies and capabilities for this role

Data EngineeringETLData TransformationReportingSQLAnalyticsBusiness IntelligenceData PipelinesProduct Management

Questions & Answers

Common questions about this position

Is this role remote or office-based?

This is a hybrid role based in the Vancouver, Canada office, following a schedule of three days in the office and two days remote each week.

What is the salary range for this position?

This information is not specified in the job description.

What key skills are required for the Senior Data Product Engineer role?

Key skills include data engineering expertise such as ETL pipelines, data modeling, containerization, and scalable solutions, along with a product-focused mindset to translate stakeholder needs into deliverables and understand business impacts.

What is the team structure like for this position?

The role is on the new Match Group Core Data team, a service organization delivering data and reporting solutions enterprise-wide, with platform-wide responsibilities and collaboration across Marketing, Product, Finance, Accounting, Strategy, and Analytics departments.

What makes a strong candidate for this role?

Strong candidates combine data engineering technical skills with a product manager mindset, understand how data impacts business decisions, and can collaborate across teams while advocating for data best practices like scale, performance, and privacy.

Match Group

Provides online dating and social discovery

About Match Group

Match Group leverages the Swipe feature® and social discovery, facilitating deeper connections through its portfolio of online dating brands, with a global presence and availability in over 40 languages.

Dallas, TexasHeadquarters

1986Year Founded

$400MTotal Funding

IPOCompany Stage

Consumer Software, Social ImpactIndustries

1,001-5,000Employees