4 days ago
Toronto, CanadaStaff+
Responsibilities
- Lead hands-on technical design and implementation across streaming and batch pipelines, lakehouse layers, metadata, semantic layers, and reporting data products.
- Design and deliver an AWS medallion lakehouse using S3, Apache Iceberg, AWS Glue, Lake Formation, and dbt while evolving existing warehouse environments.
- Build configuration- and metadata-driven platform capabilities that let domain teams safely onboard sources, schema changes, pipelines, and data products.
- Ensure datasets and products are registered, documented, discoverable, governed, and automatically populated with schema, lineage, and ownership metadata through DataHub.
- Define versioned data product and semantic-layer contracts with explicit ownership, quality expectations, testing, and deprecation paths.
- Build AI-assisted internal developer tooling and use spec-driven, agentic workflows to scaffold pipeline configuration, models, contracts, tests, and documentation.
- Lead architecture strategy, technical reviews, proof-of-concept work, documentation, and implementation processes.
- Collaborate with product managers, architects, developers, and stakeholders to translate business needs into technical specifications and data product designs.
- Mentor developers and promote quality, security, continuous learning, and collaborative team practices.
Requirements
- A degree in Computer Science, Computer Engineering, or equivalent professional experience.
- At least 8 years of scalable development experience with lead and software design responsibilities, including substantial data platform and pipeline development.
- At least 2 years in a technical leadership role involving scalable platforms, technology transformation, and modernization initiatives.
- Deep hands-on data engineering experience across streaming and batch systems, including Debezium, Kafka, and Flink.
- Experience with AWS lakehouse and medallion architecture using S3, Apache Iceberg, AWS Glue, Lake Formation, and dbt.
- Experience with warehouse engines, declarative asset-based orchestration such as Airflow, metadata and lineage platforms such as DataHub, data contracts, schema governance, data quality, observability, and service levels.
- Experience designing governed, reusable semantic layers and data products, including Looker or LookML; dbt Semantic Layer or Cube familiarity is an asset.
- Extensive AWS cloud-native infrastructure experience and working familiarity with GCP, BigQuery, and Looker; Azure experience is a plus.
- Experience with domain-driven design, loosely coupled and event-driven systems, reusable abstractions, cloud delivery, Infrastructure-as-Code, DevSecOps, automated testing, and CI/CD tools such as GitHub Actions or Jenkins.
- Experience with AI-led, spec-driven, agentic development workflows such as Cursor and with building internal developer tooling.
- Strong software design, communication, problem-solving, architecture, mentoring, and continuous-improvement skills.
- Relevant cloud-platform or technology certification is a plus.
Benefits
- Flexible hybrid work arrangement with no fixed in-office requirement, while encouraging in-person collaboration for onboarding, project work, and team alignment.
- Growth opportunities, innovative work, caring coworkers, and purpose-driven work supporting social action.
- Employee resource groups and a strong commitment to diversity, equity, inclusion, and belonging.
- Accessible hiring and assessment accommodations are available for candidates with disabilities.
Tech Stack
Apache AirflowApache FlinkApache KafkaAWSAzuredbtGitHub ActionsGoogle BigQueryGoogle Cloud PlatformJenkins
Categories
Data Engineering
About Benevity
Benevity builds an enterprise SaaS platform for corporate social impact, covering employee giving, volunteering, grants management, ERGs, and donation processing with global charity vetting. Companies use it to run and measure programs for employees and customers, with integrations and payment rails. Founded in 2008 and headquartered in Calgary, it is privately held and part of Hg’s portfolio, serving many large, multinational brands.