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Senior Data Platform Engineer

Job in Calgary, Alberta, D3J, Canada
Listing for: Benevity
Full Time position
Listed on 2026-09-29
Job specializations:
  • Software Development
    Data Engineering
Job Description & How to Apply Below
Position: Senior Staff Data Platform Engineer
Meet Benevity
Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits.

We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more!

Meet Benevity
Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits.

We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more!

Benevity is seeking a talented Senior Staff Data Platform Engineer, who has an extensive record of hands-on data engineering and data product development experience. This role, reporting to the Director of Engineering, plays a crucial part in shaping and executing on the technical strategy across our data platform, and in building it hands-on alongside the team, raising both velocity and quality as we go.

Position Overview
The Senior Staff Data Platform Engineer will be the technical anchor for our data platform, and will lead the design of our data democratization strategy. You will bridge the gap between architectural vision and production-grade engineering, working hands-on alongside the team. This role requires a deep understanding of designing scalable, governed systems that power our ingestion pipelines, medallion lakehouse, semantic layer and the data products serving reporting, ensuring our platform delivers measurable value to the domain teams that build on it.

The ideal candidate will have a strong technical background combined with the design leadership to take teams from vision to execution.

What You’ll Do

Hands-on technical leadership across the full data path

Design and build the platform capabilities that let domain engineering teams take data from source to reporting themselves, landing new sources and schema changes into the streaming consumption pipeline, promoting them through the medallion layers, and defining the data products that reporting consumes.

Work hands-on across the whole path: streaming and batch pipelines, transformation models, the lakehouse and catalog layer, and the semantic layer that defines the data products consumers depend on.

Lead the design and delivery of our medallion architecture on an AWS lakehouse, object storage with open table formats (S3, Apache Iceberg), cataloging and fine-grained governance (AWS Glue, Lake Formation), and transformation frameworks (dbt), while continuing to operate and evolve our current warehouse environments and planning a credible path between the two.

Make pipelines configuration and metadata driven, so that adding an attribute, a table or a new data product is a declarative change a domain developer can make safely, rather than bespoke code only our team can write.

Ensure every pipeline, dataset and data product is registered, documented and discoverable in our metadata platform (Data Hub), with schema, lineage and ownership propagated automatically rather than maintained by hand.

Design the data product and semantic layer contracts that reporting depends on, versioned,…
Position Requirements
10+ Years work experience
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