Databricks

Senior Staff Software Engineer - Enzyme

Databricks • $235K — $295K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 15+ years of experience in large-scale distributed systems
  • Deep knowledge and passion for database and storage systems
  • Proven track record of incremental deliverables towards a multi-year vision
  • Strong algorithm and data structure skills
  • Ability to drive initiatives aimed at enhancing customer satisfaction
  • BS, MS, or PhD in Computer Science or a related field, or equivalent experience

Responsibilities

  • Spearhead the Materialized Views engineering team
  • Design and implement next-generation materialized view features
  • Solve large-scale business challenges through software engineering
  • Deliver fault-tolerant architecture for materialized views
  • Optimize queries and resource management systems
  • Lead and plan complex technical projects across teams
  • Introduce automation tools for service operability

Benefits

  • Opportunities for annual performance bonuses
  • Potential for equity in the company
  • Access to comprehensive health plans
  • Flexible work environment
  • Support for continuous education and professional development
Full Job Description
Job Title: Senior Staff Software Engineer - Enzyme

Location: Mountain View, California

P-1183

The Lakeflow Engineering team here at Databricks is responsible for the entirety of the ETL product line. This includes products such as Materialized Views, Structured Streaming, and Delta Live Tables. We run one of the world's biggest (if not the biggest) data engineering platforms - responsible for processing exabytes of data daily for tens of thousands of customers.

We're seeking a dedicated technical leader to spearhead the Materialized Views engineering team. The team is responsible for building next generation Materialized View features for both ETL workloads and for query acceleration.

As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:
  • Incrementally maintaining materialized views
  • Query optimization
  • Resource management
  • Efficient storage structures
  • Automatic physical data optimization

The Impact you will have:
  • Solve real business needs at large scale by applying your software engineering.
  • Deliver a highly scalable, available, and fault-tolerant architecture for materialized views
  • 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.

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

$235,000-$295,000 USD

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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