Sr Manager, Engineering- Cloud Intelligence & Infrastructure Economics
-932 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers c
What this role actually needs.
-932 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers c Requirements: - Bachelor’s Degree: Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, or a related technical field. - Engineering Management Experience: 7+ years of experience in engineering management, specifically leading high-performance teams in an Infrastructure, Production Engineering, or Cloud Systems environment. - Technical Breadth: 7+ years of experience with distributed systems architecture, including professional experience with Kubernetes and Cloud-native architectures (AWS, Azure, or GCP). - System Design & Scale: Proven experience designing, building, and operating large-scale distributed systems that support high-availability SaaS platforms or services with millions of users. - Software Development: Proficiency in professional software development using high-level languages such as Java, Scala, or C++. - Platform Building: Demonstrated track record of architectural leadership in transitioning fragmented technical environments into unified, automated, and opinionated platforms. Company context: Databricks is the data and AI lakehouse platform used by the world's largest enterprises for analytics, ML, and generative AI.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Bachelor’s Degree: Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, or a related technical field.
- Engineering Management Experience: 7+ years of experience in engineering management, specifically leading high-performance teams in an Infrastructure, Production Engineering, or Cloud Systems environment.
- Technical Breadth: 7+ years of experience with distributed systems architecture, including professional experience with Kubernetes and Cloud-native architectures (AWS, Azure, or GCP).
- System Design & Scale: Proven experience designing, building, and operating large-scale distributed systems that support high-availability SaaS platforms or services with millions of users.
- Software Development: Proficiency in professional software development using high-level languages such as Java, Scala, or C++.
- Platform Building: Demonstrated track record of architectural leadership in transitioning fragmented technical environments into unified, automated, and opinionated platforms.
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Source: databricks.com · Source ID: 8501165002 · Confidence: 93/100 · Last checked: May 7, 2026
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