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Build and maintain a multi-cloud infrastructure platform for dbt Cloud using Terraform, Kubernetes, and cloud providers (AWS/Azure/GCP) to ensure reliability and developer velocity.
Build and evolve core data-pipeline infrastructure in C and Python, designing high-performance extract-load-transform systems that power hundreds of connectors for reliable, low-maintenance data movement.
Lead the architecture and delivery of metadata services (discovery API, catalog, lineage, run history) for a data-integration platform, using Python, GraphQL, Postgres, and cloud infrastructure.
Build core Rust/Go connectivity layers and adapters for dbt’s next-gen data execution platform, shaping how workloads run across engines like Arrow, DuckDB, and Spark.
Own the identity, access, and deployment layer for dbt’s enterprise platform, shaping SSO, RBAC, and multi-tenant migrations while expanding cloud and regional coverage.
Build and scale the dbt platform’s core services and APIs, ensuring reliability and security for thousands of daily data transformations in a full-stack role using Python, Go, React, and AWS.
Build and optimize the metadata layer for a data-pipeline platform, including discovery APIs, catalogs, lineage, and run-history services using Python, Rust, GraphQL, and cloud infrastructure.
Leads cross-functional engineering programs to deliver complex data-infrastructure projects on time, using AI tools and project-management best practices.
Lead engineering operations to streamline processes and drive efficiency for Fivetran’s data pipeline infrastructure, collaborating with global teams to improve SDLC and deliver strategic objectives.
The Senior Software Engineer will join the database team to design and implement data pipeline solutions, focusing on capturing data from relational databases using C and C++. This role involves the full software development lifecycle, including architectural design, code reviews, and mentoring team members.
Fivetran is seeking a Senior Software Engineer to build and maintain data pipelines using Java, Kubernetes, and cloud infrastructure. The role involves developing connectors, contributing to architectural design, and leveraging AI-powered tools to enhance development workflows.
The Staff Product Manager will own the roadmap for Fivetran's monetization platform, focusing on billing, metering, entitlements, subscriptions, invoicing and usage reporting, while partnering with engineering, design, finance and pricing teams to deliver scalable, data‑driven pricing experiences.
Designs and implements complex data-interfaces for technical users, focusing on workflows that help teams explore and understand data reliably.
Principal engineer defining the long-term architecture for Fivetran’s scalable data-movement platform, using Java, Kubernetes, and cloud infra to keep pipelines reliable and performant.
Own the product roadmap for reverse ETL and data integrations, turning customer pain points into elegant solutions that power analytics and AI for thousands of businesses.
Leads the strategy and roadmap for Fivetran’s enterprise-grade platform features, focusing on security, governance, and scalability for large customers.
Leads data-driven growth initiatives for a B2B data-pipeline platform, using AI and experimentation to optimize onboarding, conversion, and retention.
Designs and maintains scalable test automation frameworks in Java to ensure data pipeline reliability for Fivetran’s cloud-based ETL solutions, integrating AI tools for debugging, test generation, and pipeline optimization.
Senior engineer builds and maintains Fivetran’s PostgreSQL connector, ensuring reliable, high-performance data pipelines for enterprise customers using Java, SQL, and cloud tools.
Designs and builds the AI analyst stack—prompts, tools, retrieval, evaluation, and runtime safety—so analysts can reliably use AI in daily workflows.
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