Engineering Manager, CustomerLake Profile Agents

Databricks ยท ๐Ÿ“ New York City, New York ยท Diposting 2026-10-07
FULL_TIMEโญ TERVERIFIKASI
nego

Databricks is seeking an experienced Engineering Manager to lead our CustomerLake Profile Agents team. This role is crucial in driving the development and maintenance of our data lake solutions, ensuring high performance and reliability. The ideal candidate will have a strong background in engineering management and a passion for data-driven technologies.

In this role, you will be responsible for overseeing a team of engineers, setting the technical vision, and ensuring that our products meet the highest standards of quality and performance. You will work closely with cross-functional teams to deliver innovative solutions that meet our customers' needs.

If you are a seasoned engineering manager with a proven track record in data lake technologies, we encourage you to apply. Join us in shaping the future of data management and make a significant impact at Databricks.

๐Ÿ“‹ Tanggung Jawab Pekerjaan

Tanggung Jawab:

  • Lead and mentor a team of engineers to deliver high-quality data lake solutions.
  • Set the technical vision and strategy for the CustomerLake Profile Agents team.
  • Ensure that our products meet the highest standards of performance, reliability, and scalability.
  • Collaborate with cross-functional teams to deliver innovative solutions that meet our customers' needs.
  • Drive continuous improvement in engineering processes and practices.
  • Manage project timelines, resources, and budgets to ensure successful delivery of projects.
  • Foster a culture of innovation, collaboration, and continuous learning within the team.
  • Represent Databricks at industry events and conferences to showcase our expertise in data lake technologies.
  • ๐ŸŽ“ Kualifikasi & Syarat

    Kualifikasi:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 7+ years of experience in engineering management, with a focus on data lake technologies.
  • Proven track record of leading and mentoring engineering teams to deliver high-quality products.
  • Strong understanding of data lake architectures, including Hadoop, Spark, and Delta Lake.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Excellent communication and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels.
  • Strong problem-solving and analytical skills, with the ability to make data-driven decisions.
  • Familiarity with Agile and DevOps practices.
  • ๐Ÿ› ๏ธ Keahlian

    Data Lake TechnologiesEngineering ManagementCloud PlatformsAgileDevOps
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