Senior Data Engineer (Remote, Canada EST)

Job description

This is a remote position and we're considering candidates in the Canadian Eastern Timezones.

About the Role

We are looking for a Senior Data Engineer who can help design and build our operational data architecture to enable automation across growth marketing, in-app messaging, and growth experimentation. Our data stack has been primarily centered around analytics and reporting (e.g., Fivetran, dbt, Prefect, BigQuery, Grafana); however, as we look to accelerate the development of operational workflows we have begun to consider building additional services to compliment / replace our existing Reverse ETL pipelines (e.g., hightouch, census).

Success in this role will require a combination of driving architectural decisions, understanding our product and use-cases, and hands on building. As the founding data engineer on our Product Data & Analytics team, we are primarily looking for someone that can iterate quickly, incorporate input from a cross-functional team, and contribute to our vision for operational data at Grafana.

Examples of projects you’ll work on

  • Design and build our operational data architecture and its connections to downstream analytics, marketing, and product experiences
  • Partner cross-functionally across Self-Serve (i.e. Growth PM/Eng, Growth Marketing & Ops, and PLG teams) to identify opportunities to empower our teams with data and automation
  • Manage and improve data enrichment pipelines used for performing lead scoring and segmentation
  • Collaborate with our Growth Engineering team to enable data driven product experiences (e.g., onboarding flows, in-app messaging, etc.)
  • Partner with Product and Engineering teams to define requirements for analytics tracking instrumentation and collection
  • Assist in developing workflows for creating AI-generated Sales and Marketing messages

What you bring

  • Have previously built real-time data processing and batch data pipelines using tooling such as Airflow, Spark, Kafka, RudderStack, S3, etc.
  • Strong programming skills (some combination of Python, Java, Scala, Go)
  • Highly motivated self-starter that is keen to make an impact and is unafraid of tackling large, complicated problems
  • Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success

A plus if you have

  • Knowledge about observability
  • Previous experience with Grafana visualization, or a desire to invest the time to learn

In Canada, the Base compensation range for this role is CAD 165,000 - CAD 199,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here

 
 
About Grafana Labs: There are more than 950,000 active installations of Grafana around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps companies including Bloomberg, JPMorgan Chase, and eBay manage their observability strategies with full-stack offerings that can be run fully managed with Grafana Cloud, or self-managed with Grafana Enterprise Stack. The Grafana stack has grown to include four other open source projects, Grafana Loki (for logs), Grafana Tempo (for traces), Grafana Mimir (for metrics), and Grafana OnCall (for on-call management).
 
Benefits: For more information about the perks and benefits of working at Grafana, please check out our careers page.
 
Equal Opportunity Employer: At Grafana Labs we’re building a company where a diverse mix of talented people want to come, stay, and do their best work. We know that our company runs on the hard work and the dedication of our passionate and creative employees. If you're excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways.
 
We will recruit, train, compensate and promote regardless of race, religion, colour, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organisation and we’re working hard to make sure that’s the foundation of our organisation as we grow.
 
For information about how your personal data is used once you’ve applied to a job, check out our privacy policy. 
 
 
 

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