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Senior Staff Software Engineer - Linage & Tagging

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Databricks

20d ago

  • Job
    Full-time
    Expert Level
  • Data
    Software Engineering
  • Mountain View

AI generated summary

  • You need a BS/MS/PhD in Computer Science or similar, 15+ years in large-scale systems, 5+ years in technical leadership, strong problem-solving skills, and the ability to guide multi-year projects.
  • You will drive features for Unity Catalog, lead projects, design architecture, optimize production clusters, automate services, investigate issues, and mentor team members.

Requirements

  • BS/MS/PhD in Computer Science or related majors, or equivalent experience.
  • 15+ years of experience building large scale distributed systems with high availability
  • 5+ years of technical leadership experience building complex production systems
  • Strong analytical and problem-solving skills with a demonstrable bias toward action.
  • Leadership skills and experience to lead across functional and organizational lines
  • Comfortable working towards a multi-year vision with incremental deliverables.

Responsibilities

  • Drive key feature areas for Unity Catalog like Lineage and Tagging, by planning and leading large-scale technical projects.
  • Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
  • Lead systems debugging, performance measurement & optimization on large production clusters.
  • Introduce tools to allow greater automation and operability of services.
  • Use your deep experience to help prevent and investigate production issues.
  • Contribute as a Technical Lead by mentoring others, lead project planning, delegating work to team members.

FAQs

What is the primary responsibility of the Senior Staff Software Engineer - Lineage & Tagging at Databricks?

The primary responsibility is to drive key feature areas for Unity Catalog, such as Lineage and Tagging, by planning and leading large-scale technical projects.

What qualifications are required for this position?

Candidates should have a BS, MS, or PhD in Computer Science or related fields, or equivalent experience, along with 15+ years of experience building large scale distributed systems and 5+ years of technical leadership experience.

What is the expected level of experience for applicants?

Applicants are expected to have at least 15 years of experience in building large scale distributed systems and a minimum of 5 years in technical leadership roles.

What kind of organization will I be working with?

You will be working at Databricks, which is committed to helping data teams solve significant real-world problems through their data and AI infrastructure platform.

Does the job offer any leadership responsibilities?

Yes, the role includes responsibilities such as mentoring other team members, leading project planning, and delegating work.

What is the pay range for this position?

The pay range for this role is between $232,000 and $313,000 USD based on factors unique to each candidate.

What is Unity Catalog and its significance in this role?

Unity Catalog is the industry's only unified governance solution for data and AI, and this role will involve driving enhancements in areas like Lineage and Tagging within the platform.

Are there opportunities for career growth in this position?

Yes, there are opportunities for career growth as this role involves influencing product roadmaps and taking ownership of new projects.

What is Databricks' stance on diversity and inclusion?

Databricks is committed to fostering a diverse and inclusive culture where everyone can excel, ensuring that hiring practices are inclusive and meet equal employment opportunity standards.

What benefits does Databricks offer?

Databricks offers comprehensive benefits and perks, which vary by region. Specific details can be found on their benefits website.

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Databricks

Technology
Industry
1001-5000
Employees
2013
Founded Year

Mission & Purpose

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).