Databricks

Sr. Staff Software Engineer - Managed Tables

Databricks$228K — $314K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 15+ years of industry experience in large-scale distributed systems
  • Strong passion for database and storage systems, performance optimization, and language design
  • Proven ability to work with a multi-year vision while delivering incremental improvements
  • Motivated by creating customer value and measurable impacts
  • Solid understanding of algorithms, data structures, and their practical applications
  • Experience in driving initiatives focused on customer satisfaction
  • BS/MS/PhD in Computer Science or equivalent experience

Responsibilities

  • Solve significant business challenges using software engineering expertise and collaboration with product teams
  • Deliver scalable and interoperable architecture for Managed Tables
  • Conduct low-level systems debugging and performance optimization on large production clusters
  • Architect design, influence product roadmaps, and own new projects from start to finish
  • Introduce automation tools to enhance service operability
  • Utilize expertise to troubleshoot and prevent production issues
  • Lead complex technical projects in collaboration with multiple internal teams
  • Mentor team engineers to enhance their skills and performance

Benefits

  • Comprehensive benefits that cater to diverse employee needs
  • Eligibility for annual performance bonuses
  • Possible equity options
  • Commitment to fair and equitable compensation practices
Full Job Description
P-1093

The ManagedTables team at Databricks is responsible for the DataIntelligence initiatives that underpin the Unity Catalog ManagedTables offering. This encompasses products such as Predictive Optimization, Liquid Clustering, and control plane services facilitating Unity Catalog and Iceberg Rest Catalog API-based access to ManagedTables. The team is accountable for optimizing exabytes of data and saving millions of dollars annually for our customers through the Data Intelligence offerings.

As part of this team, you will be working on realizing enterprise grade autonomous analytical datasystems - that ensure the best performance out-of-the-box. You will design and implement these next gen systems that leapfrog state-of-the-art:
  • Storage lifecycle and additional background optimizations for a knob-free experience via Predictive Optimization
  • Efficient storage structures and innovations to power storage layout solutions for the ML world
  • Influence the Data format and Catalog interface unification efforts and enable strong ecosystem interoperability for ManagedTables

The Impact you will have:
  • Solve real business needs at large scale by applying your software engineering experience and by driving strong collaboration with Product partners
  • Deliver a highly scalable, available, and inter-operable architecture for Managed Tables.
  • Low level systems debugging, performance measurement & optimization on large production clusters.
  • Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
  • Introduce tools to allow greater automation and operability of services.
  • Use your deep experience to help prevent and investigate production issues.
  • Plan and lead complicated technical projects that work with several teams within the company.
  • Mentor and up-level engineers on the team

What We're Looking For:
  • 15+ years industry experience building and supporting large-scale distributed systems.
  • A passion for database systems, storage systems, distributed systems, language design, or performance optimization
  • Experience working towards a multi-year vision with incremental deliverables
  • Motivated by delivering customer value and impact.
  • Strong foundation in algorithms and data structures and their real-world use cases.
  • Experience driving company initiatives towards customer satisfaction.
  • BS/MS/PhD in Computer Science or related majors, or equivalent experience.


Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$228,600-$314,250 USD

BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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