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The Principal Software Engineer will lead the architecture and development of Fivetran's Data Lake product, ensuring scalability and performance. Responsibilities include partnering with product teams, designing reliable data lake systems, and contributing to open-source projects. This role requires strong technical skills and a focus on operational excellence.

The Lead Sales Engineer will collaborate with the Enterprise sales team to analyze customer needs and showcase Fivetran’s data replication solutions. Responsibilities include providing technical expertise, conducting presentations, ensuring technical wins, and maintaining key customer relationships while staying updated on industry trends.

The Principal Software Engineer will lead the architecture, design, and development of Fivetran's Data Lake product, ensuring scalability and performance. They will collaborate with product teams, manage large-scale data lake systems, solve performance challenges, and contribute to open-source projects.

The Senior Manager in the Engineering Program Management Office will oversee a team managing product portfolios and projects, ensuring timely and quality delivery while coordinating with cross-functional teams. Key responsibilities include process improvement, stakeholder communication, documentation, and risk management.

As a Lead Sales Engineer at Fivetran, you will collaborate with the sales team to address the complex requirements of Enterprise customers. Responsibilities include showcasing data replication solutions, delivering technical presentations, managing the proof-of-value process, and aligning product offerings with customer needs.

The Senior Software Engineer will work on building and maintaining data pipelines, integrating various data sources into data warehouses. Responsibilities include writing connectors, contributing to software design, ensuring technical excellence, and mentoring junior colleagues while participating in on-call duties.

As a Principal Software Engineer at Fivetran, you will lead the architecture, design, and development of the Data Lake product, collaborating with product teams and ensuring operational excellence in data systems. Your responsibilities include handling large-scale data lake implementations and influencing cross-functional teams.