Senior Data Product Engineer
- Vancouver, BC, Canada
$135,000 to $143,000 CAD / year · Full-time
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Job details
- Pay
- $135,000 to $143,000 CAD / year
- Job type
- Full-time
- Apply by
- Experience
- 5+ years of professional/industry experience
- Posting language
- English
- Posted
Original job description
Know where you belong!
Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.
When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week.
We're looking for a Sr. Data Product 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).
How You'll Make An Impact
Benefits
Our mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer:
If you require a reasonable accommodation to participate in the hiring process - such as during pre-employment testing or interviews - please indicate this by selecting “Yes” in the accommodation request field. We’ll reach out to discuss your needs if you're selected for the interview stage.
#MG
The salary range for this position is $135,000-$143,000.Factors such as the scope and responsibilities of the position, the candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence the base pay offered. This salary range is reflective of a position based in Vancouver, CA. This salary will be subject to a geographic adjustment (according to a specific city and state) if an authorization is granted to work outside of the location listed in this posting.
Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.
When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week.
We're looking for a Sr. Data Product 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).
How You'll Make An 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 - 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)
- 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
Our mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer:
- Generous vacation, flex days, professional development days
- RRSP matching, and employee stock purchase plan
- Professional development budget and unlimited access to Udemy from day one
- Match Group mentorship program
- Parental leave top up and fertility preservation benefits
- Extended health & dental benefits from day one
- Corporate ClassPass membership and other wellness benefits
If you require a reasonable accommodation to participate in the hiring process - such as during pre-employment testing or interviews - please indicate this by selecting “Yes” in the accommodation request field. We’ll reach out to discuss your needs if you're selected for the interview stage.
#MG
The salary range for this position is $135,000-$143,000.Factors such as the scope and responsibilities of the position, the candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence the base pay offered. This salary range is reflective of a position based in Vancouver, CA. This salary will be subject to a geographic adjustment (according to a specific city and state) if an authorization is granted to work outside of the location listed in this posting.
More about this job
Responsibilities
The Senior Data Product Engineer will bridge the gap between data engineering and product management to build and improve data solutions for Match Group brands. They will manage data flows, improve the technology stack, and translate stakeholder needs into actionable, high-quality data products.
Requirements
Candidates must have 5+ years of professional experience with expertise in SQL, Python, and lakehouse architecture. Proficiency with AWS, Databricks, and Spark is required, along with strong communication skills to facilitate collaboration across teams.
Skills
- SQL
- Data modeling
- Lakehouse architecture
- Python
- Redshift
- Airflow
- AWS QuickSight
- Databricks
- Spark
- Relational databases
- Data engineering
- Product management
- ETL pipeline development
- Containerization
- Communication skills
- Stakeholder management
Benefits
- Generous vacation
- Flex days
- Professional development days
- RRSP matching
- Employee stock purchase plan
- Professional development budget
- Unlimited access to Udemy
- Mentorship program
- Parental leave top up
- Fertility preservation benefits
- Extended health and dental benefits
- Corporate ClassPass membership
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Engineering
- Software
- Technology
- Consulting
Keywords
- Data Product Engineer
- SQL
- Python
- Data Modeling
- Lakehouse Architecture
- Redshift
- Airflow
- AWS QuickSight
- Databricks
- Spark
- ETL
- Containerization
- Cloud Infrastructure
- Data Engineering
- Product Management
- Metrics
- Data Library
- Relational Databases
- SQL Server
- Stakeholder Management
- Data Analytics
- Marketing
- Finance
- Accounting
- Strategy
- Platform Development
- Release Notes
- On-prem Infrastructure
- Data Privacy
- Scalability