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Lead the technical architecture, design, and development of Fivetran’s Data Lake product. Collaborate with product teams to create customer-driven solutions and ensure reliable, scalable data lake systems. Analyze and solve performance, fault-tolerance, and availability issues while influencing cross-functional teams.

The Systems Support Specialist I provides technical support, troubleshoots issues, and maintains Salesforce systems. This role involves resolving daily incoming issues, conducting root cause analysis, and improving processes. Additional responsibilities include administration, user support, logging and tracking system problems, and testing solutions.

As a Software Engineer II at Fivetran, you will develop and debug code to address performance issues, analyze workloads, design performance benchmarks, and collaborate with teams to enhance product performance. The role focuses on building and maintaining systems that optimize product resilience and efficiency, ensuring alignment with enterprise customer needs.

As a Software Engineer II at Fivetran, you will enhance their data pipeline service by building new features, maintaining software architecture, and ensuring reliable service operations. Your role involves deep investigation into data replication for Oracle systems, improving existing connectors, and scaling client-side services to the cloud.

As a Senior Strategic Finance Analyst in R&D, you will partner with finance and R&D leadership to provide insights for optimizing investments and enhancing forecast accuracy. Responsibilities include leading variance analyses, streamlining processes, and enhancing financial automation.

The Staff Software Engineer at Fivetran will design, implement, and maintain core components of data pipelines, ensuring reliability and efficiency. They will lead projects, collaborate with teams, mentor fellow engineers, and uphold high code quality standards while integrating emerging technologies.

As a Senior Software Engineer at Fivetran, you will develop and maintain data pipeline services, ensuring technical excellence. Responsibilities include writing connectors, enhancing features, bug fixing, and mentoring junior team members, all while working on a global Kubernetes compute cluster.