Data Engineering Manager

3 hours ago


Mountain View, California, United States Databricks Full time
Job Title: Data Engineering Manager

We are seeking a highly skilled Data Engineering Manager to lead our Structured Streaming team in developing and promoting the engine in OSS and the Databricks Data Intelligence Platform.

Key Responsibilities:
  • Lead a talented engineering team in developing and promoting the engine in OSS and the Databricks Data Intelligence Platform.
  • Oversee sustained recruitment of top-tier talent, and upskilling talent on the team.
  • Build processes to implement product vision and strategy, according to organizational goals and priorities.
  • Build software that is not just high quality but easy to operate.
  • Make a company-wide impact by guiding Stream Processing adoption across the Databricks product portfolio.
  • Manage technical debt, including long-term technical architecture decisions and balance product roadmap.
Requirements:
  • 5+ years of experience working in a related system, including big-data ecosystem, Apache SparkTM or database internals.
  • A passion for database systems, storage systems, distributed systems, language design, or performance optimization.
  • Can ensure the team builds high-quality and reliable infrastructure services. Experience being responsible for testing, quality, and Service Level Agreements of a product. Experience building and managing teams in a complex technical domain, such as on distributed data systems or database internals.
  • Expertise attracting, hiring, and coaching engineers, who will meet the Databricks hiring standards. Can up-level the existing team via hiring top-notch senior talent, growing leaders, and helping struggling members. Experience managing distributed teams.
  • Experience working with product management, and directly with customers; ability to understand customer needs.
What We Offer:
  • Competitive salary range: $192,000-$260,000 USD.
  • Annual performance bonus.
  • Equity.
  • Benefits package.

We are an equal opportunity employer and welcome applications from diverse candidates. If you are passionate about data engineering and want to join a dynamic team, please submit your application.


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