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Benevity is an enterprise SaaS company focused on social impact. Its Benevity Enterprise Impact Platform helps large organizations manage employee giving, donation matching, payroll giving, volunteering, grants, employee groups, challenges, and impact reporting in one system. The platform also supports global disbursements, nonprofit due diligence, compliance, and risk controls, with AI-driven automation designed to simplify program administration and measurement. For professionals exploring roles in B2B software, SaaS, or social impact technology, Benevity offers the opportunity to work on products that connect workplace programs with charitable organizations and measurable community outcomes.
Senior Staff Data Platform Engineer, Hybrid Canada
Lead Benevity’s AWS lakehouse, data pipelines, and governed data products as a Senior Staff Data Platform Engineer. Build scalable technology that supports companies and employees in taking social action.
Description
- Provide hands-on technical leadership across the end-to-end data path
- Design platform capabilities that help domain engineering teams move data from source to reporting
- Integrate new sources and schema changes into streaming consumption pipelines
- Advance data through medallion layers and define reporting data products
- Work across streaming and batch pipelines, transformation models, lakehouse and catalog layers, and semantic layers
- Lead the design and implementation of a medallion architecture on an AWS lakehouse
- Operate and modernize warehouse environments while planning the transition between warehouse and lakehouse systems
- Develop configuration-driven and metadata-driven pipelines
- Register, document, and maintain discoverability for pipelines, datasets, and data products in DataHub
- Create governed, versioned, and tested contracts for data products and semantic layers
- Develop AI-assisted tools for pipeline configuration, models, contracts, testing, and documentation
- Partner with Principal Architects on technical strategy and reusable architecture patterns
- Work with product managers, staff developers, and stakeholders to turn business needs into technical specifications and data product designs
- Apply cloud-native solution design to uphold security best practices across the technology stack
- Produce technical documentation, architecture decisions, and implementation processes
- Deliver proofs of concept that inform technical and product direction
- Mentor developers and support a collaborative, inclusive team environment
- Take part in architectural reviews to maintain quality, consistency, and alignment with the north star architecture
Requirements
- Degree in Computer Science, Computer Engineering, or equivalent professional experience
- At least 8 years of experience developing scalable software, including lead responsibilities, software design ownership, and substantial work on data platforms and pipelines
- At least 2 years leading technical work on scalable platforms, technology transformation, or modernization initiatives
- Excellent communication skills
- Strong foundations in software design
- Experience with domain-driven design, loosely coupled systems, and decoupled event-driven services
- Experience creating reusable abstractions and frameworks
- Extensive hands-on data engineering experience across streaming and batch systems
- Experience with Debezium, Kafka, and Flink, including schema evolution and delivery-guarantee trade-offs
- Experience implementing lakehouse and medallion architectures with S3, Apache Iceberg, AWS Glue, Lake Formation, and dbt
- Experience operating warehouse engines at scale and using declarative, asset-based orchestration such as Airflow
- Experience with DataHub or a comparable metadata, catalog, and lineage platform
- Experience enforcing data contracts and schema governance automatically in CI and at runtime
- Experience establishing data quality, observability, and service levels for pipelines and data products
- Experience developing data products and semantic layers
- Experience with Looker or LookML; familiarity with dbt Semantic Layer or Cube is an asset
- Experience defining consumer-oriented data products with contracts, versioning, and deprecation paths
- Exposure to analytics and reporting delivery
- Extensive experience with cloud-native infrastructure on AWS
- Working familiarity with GCP, including BigQuery and Looker; Azure experience is a plus
- Proficiency in Agile, Infrastructure as Code, DevSecOps, automated testing, and CI/CD tools such as GitHub Actions or Jenkins
- Experience with AI-led, specification-driven, and agentic development workflows such as Cursor
- Demonstrated success delivering performant, scalable, and cost-effective products
- Relevant cloud platform or technology certification is desirable
Benefits
- Flexible hybrid work arrangements
- Innovative work
- Opportunities for professional growth
- Supportive and caring colleagues
- Purpose-driven work
- Employee resource groups
- Investment in DEIB and an inclusive workplace
- Accommodation support throughout the hiring and assessment process
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