Staff Software Engineer - Metadata

About the Role

At Fivetran, our goal is to make data access as simple and dependable as electricity. We provide customers with data that is ready to query without extra engineering or upkeep. We have partnered with dbt Labs to combine strengths, creating a data infrastructure that supports data movement, transformation, and trust necessary for analytics and AI. Together, we empower thousands of organizations to build reliable data foundations for better business decision-making.

The Metadata team plays a critical role in our platform, managing APIs and services such as discovery, catalog, lineage, and run history that help customers understand and trust their data.

Responsibilities

• Lead design and delivery of large, team-wide projects involving multiple engineers within the Metadata services.
• Architect new subsystems independently and take full ownership of critical components end-to-end.
• Utilize AI tools throughout the software development lifecycle for documentation, tests, and reviews.
• Conduct thorough technical design reviews to maintain high standards and address potential design issues prior to release.
• Drive key technical initiatives across discovery API, catalog, lineage, and run history areas.
• Set and enforce best practices in design, architecture, and coding quality.
• Mentor and coach team members, enhancing overall code quality and team capability.
• Produce technical documentation and ensure project deliverables are well-documented.
• Optimize and troubleshoot critical systems to improve reliability and performance.
• Participate in on-call rotations to support operational stability.

Required Qualifications

• Over 8 years of experience in software engineering with proven leadership in managing complex, technical projects.
• Expertise in designing and owning distributed, cloud-based subsystems.
• Experience setting strategic technical directions and managing multi-engineer projects.
• Strong judgment in system architecture and the ability to identify and solve design flaws.
• Consistently produces high-quality, well-tested code and reliably meets sprint commitments.
• Track record of elevating engineering standards via code reviews, mentorship, and enforcing best practices.
• Collaborative experience working with quality engineering teams on test strategy and maintaining operational health.
• Proficiency in backend or systems languages such as Python, Java, C++, or C#.
• Hands-on experience with cloud platforms (AWS, GCP, Azure), container orchestration (Docker, Kubernetes), and development infrastructure management.
• Advanced use of AI coding assistants and conversational AI tools (e.g., Claude, ChatGPT) to create, review, and synthesize development lifecycle documents and code.

Preferred Skills

• Knowledge of data processing pipelines (ETL/ELT) and cloud data platforms.
• Experience architecting systems for metadata management, cataloging, lineage, or search/discovery.
• Familiar with GraphQL APIs and managing high-throughput, multi-tenant services.
• Understanding of analytics engineering workflows and the dbt ecosystem.

Compensation and Benefits

The salary range for this position in Ontario is between $162,157 and $198,877 USD annually, including potential bonuses and incentives, which may vary by role, level, and location.

• Fully employer-paid medical insurance.
• Generous paid time off including sick leave, parental leave, holidays (including a global rest week), and volunteer days.
• RSU stock grants (country and worker type dependent).
• Access to professional development and training opportunities.
• Company events, virtual social hours, and team-building activities.
• Monthly phone stipend.
• Innovative mental health support platform offering personalized therapy, coaching, and mindfulness resources for employees and their covered dependents.

Equal Opportunity and Accommodations

We are dedicated to fostering diversity and inclusion and welcome candidates from all backgrounds. We ensure an equitable recruitment process and provide reasonable accommodations for applicants needing assistance during interviews or hiring stages, maintaining confidentiality and fairness throughout.