2 months ago
Toronto, CanadaStaff+
Base Salary
$162k - $199k/yr
Responsibilities
- Lead design and delivery of complex team-level projects across Metadata services.
- Design and develop new subsystem architectures and own team-level subsystems end to end.
- Use AI tooling and agents across development and SDLC artifacts.
- Review and approve technical designs and identify design deficiencies before release.
- Drive technical initiatives for discovery API, catalog, lineage, and run history.
- Set and uphold design, architecture, and coding standards.
- Coach and mentor engineers while improving code quality across the team.
- Write technical specifications and document common components.
- Optimize critical code, follow through on incidents, and improve service reliability and performance.
- Participate periodically in the on-call rotation.
Requirements
- 8+ years of software engineering experience leading complex, team-scope technical work.
- Deep expertise designing and owning subsystems in distributed, cloud-based systems.
- Demonstrated ability to set technical direction and drive multi-engineer initiatives.
- Excellent design and architecture judgment with the ability to evaluate trade-offs.
- Strong coding, code review, coaching, and engineering quality practices.
- Experience partnering with QE on test strategy and owning incidents, post-mortems, reliability, and performance.
- Proficiency in a modern backend or systems language such as Python, Java, C++, or C#.
- Hands-on experience with AWS, GCP, or Azure; Docker and Kubernetes; and development infrastructure.
- Fluency with AI code assistants, coding agents, Claude, or ChatGPT for code and SDLC artifacts.
- Experience with ETL or ELT and cloud-based data platforms is a bonus.
- Experience architecting metadata, catalog, lineage, or discovery/search systems is a bonus.
- Experience with GraphQL APIs and high-throughput, multi-tenant data services is a bonus.
- Familiarity with analytics engineering workflows and the dbt ecosystem is a bonus.
Benefits
- 100% employer-paid medical insurance
- Paid time off, paid sick time, inclusive parental leave, holidays, Global Week of Rest, and volunteer days off
- RSU stock grants
- Professional development and training opportunities
- Company virtual happy hours, free food, and team-building activities
- Monthly cell phone stipend
- Mental health support platform with therapy, coaching, and self-guided mindfulness resources
Tech Stack
Apache KafkaAWSAzureC#C++DatadogdbtDockerGoogle Cloud PlatformGraphQLJavaKubernetesPostgreSQLPythonSnowflake
Categories
BackendData Engineering
About Fivetran
Fivetran builds a managed data integration platform that extracts data from hundreds of SaaS apps and databases and loads it into cloud data warehouses for analytics and AI teams. Sold as a subscription SaaS service, it provides prebuilt connectors, automated schema management, and ELT/replication to destinations like Snowflake, BigQuery, Databricks, and Redshift. Founded in 2012 and headquartered in Oakland, it serves customers such as Autodesk, Condé Nast, JetBlue, and Morgan Stanley.