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6 Days Ago
27 Locations
1,200 Employees
Senior level
1,200 Employees
Senior level
Big Data • Cloud • Software • Database
The Senior Manager in the Engineering Program Management Office will lead and mentor a team, oversee project and program management, ensure quality deliverables, improve processes, and facilitate communication with stakeholders to deliver high-quality engineering solutions effectively.
6 Days Ago
27 Locations
1,200 Employees
Senior level
1,200 Employees
Senior level
Big Data • Cloud • Software • Database
Manage a team in the Engineering Program Management Office, overseeing project coordination and implementation while ensuring timely completion and quality. Mentor staff, refine processes, communicate with stakeholders, and manage technical projects as needed, adapting to changing requirements.
6 Days Ago
27 Locations
1,200 Employees
Senior level
1,200 Employees
Senior level
Big Data • Cloud • Software • Database
The Senior Manager in the Engineering Program Management Office will lead a team responsible for managing project portfolios and ensuring high-quality solutions through effective project and stakeholder management. This role includes team leadership, process improvement, communication with stakeholders, documentation, risk management, and oversight of technical solutions.
6 Days Ago
28 Locations
Remote
1,200 Employees
Senior level
1,200 Employees
Senior level
Big Data • Cloud • Software • Database
The Principal Software Engineer will lead the architecture, design, and development of Fivetran’s Data Lake product ensuring scalability and easy usability for customers. Responsibilities include collaborating with product teams, developing reliable data lake systems, analyzing performance issues, and influencing cross-functional teams.
6 Days Ago
28 Locations
Remote
1,200 Employees
Senior level
1,200 Employees
Senior level
Big Data • Cloud • Software • Database
The Principal Software Engineer will lead the technical architecture, design, and development of Fivetran’s Data Lake product. Responsibilities include collaborating with product teams, implementing scalable data lake systems, analyzing performance issues, contributing to open-source projects, and ensuring operational excellence in terms of reliability, security, and performance.
6 Days Ago
27 Locations
1,200 Employees
Senior level
1,200 Employees
Senior level
Big Data • Cloud • Software • Database
As a Lead Sales Engineer, you will collaborate with the Enterprise sales team to identify clients' data replication needs, provide technical solutions, present to stakeholders, and ensure successful engagements through proof-of-value processes.
6 Days Ago
27 Locations
1,200 Employees
Senior level
1,200 Employees
Senior level
Big Data • Cloud • Software • Database
The Senior Site Reliability Engineer will ensure the performance and reliability of Fivetran’s production infrastructure, monitor system capacity, and oversee deployment pipelines. Responsibilities include incident response, infrastructure optimization, and collaborating with engineering teams.
6 Days Ago
28 Locations
Remote
1,200 Employees
Senior level
1,200 Employees
Senior level
Big Data • Cloud • Software • Database
The Principal Software Engineer will lead the technical architecture and development of Fivetran’s Data Lake product, improving scalability and performance while ensuring operational excellence and collaborating with product teams.
6 Days Ago
28 Locations
Remote
1,200 Employees
Senior level
1,200 Employees
Senior level
Big Data • Cloud • Software • Database
As a Lead Sales Engineer at Fivetran, you will collaborate with the sales team to address Enterprise customers' complex needs using Fivetran’s data replication solutions, provide technical expertise, and manage proof-of-value processes. Your role involves understanding client use cases and presenting technical solutions that meet their requirements.
6 Days Ago
27 Locations
1,200 Employees
Senior level
1,200 Employees
Senior level
Big Data • Cloud • Software • Database
As a Senior Software Engineer, you will build and manage data pipelines, ensure technical excellence, contribute to architectural design, mentor junior colleagues, and write Java connectors integrating source systems with data warehouses.
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