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Data Engineering Manager
2 months ago
We are seeking an experienced Engineering Manager to lead our Platform team at Databricks. As a key member of our engineering organization, you will be responsible for delivering high-quality products and features that meet the needs of our customers.
Key Responsibilities- Lead a team of engineers to design, develop, and deploy scalable and reliable cloud infrastructure
- Collaborate with cross-functional teams to ensure seamless integration with other products and services
- Develop and implement processes to ensure high technical standards and engineering excellence
- Work with engineering and product leadership to build a long-term roadmap for the Platform team
- Coordinate execution and collaborate across teams to unblock cross-cutting projects
- 5+ years of experience in leading engineering teams, with a focus on cloud infrastructure and distributed systems
- Proven track record of delivering high-quality products and features on time and on budget
- Experience with containerization and orchestration tools such as Docker and Kubernetes
- Strong understanding of cloud computing platforms and services such as AWS and Azure
- Excellent communication and leadership skills, with the ability to work effectively with cross-functional teams
Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. We are headquartered in San Francisco, with offices around the globe and were founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
What We OfferWe offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and a generous PTO policy. We also offer opportunities for professional growth and development, as well as a dynamic and inclusive work environment.