Our ideal candidate has a passion for database systems, storage systems, distributed systems, language design, or performance optimization, with 5+ years of experience working in a related system. A PhD in databases or distributed systems is optional.

As a member of our team, you will be motivated by delivering customer value and impact, and will have the opportunity to work on a multi-year vision with incremental deliverables.

The pay range for this role is $166,000-$225,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

XML job scraping automation by YubHub

Responsibilities:

• Drive requirements clarity and design decisions for ambiguous problems
• Produce technical design documents and project plans
• Develop new features
• Mentor more junior engineers
• Test and rollout to production, monitoring

Requirements:

• Passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Comfortable working towards a multi-year vision with incremental deliverables
• Customer-oriented and focused on having an impact
• 5+ years of experience working in a related system
• Optional: PhD in databases or distributed systems

Benefits:

• Comprehensive benefits and perks that meet the needs of all employees
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

At Databricks, we strive to provide a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

XML job scraping automation by YubHub

Our ideal candidate has a passion for database systems, storage systems, distributed systems, language design, or performance optimisation. They should be comfortable working towards a multi-year vision with incremental deliverables and be customer-oriented with a focus on having an impact. A minimum of 5 years of experience working in a related system is required, with a PhD in databases or distributed systems being optional.

In return, we offer a comprehensive benefits package and a commitment to diversity and inclusion. If you're excited about the opportunity to join our team and contribute to the development of next-generation database systems, please apply.

XML job scraping automation by YubHub

To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse, open platforms that unify data warehousing and advanced analytics.

A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science.

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:

• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization

We look for:

• 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
• 5+ years of experience working in a related system (preferred)

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 $166,000-$225,000 USD

XML job scraping automation by YubHub

To be successful in this role, you'll need a PhD in databases or systems, a passion for database systems, storage systems, distributed systems, language design, and/or performance optimisation, and be motivated by delivering customer value and impact.

The pay range for this role is $140,000-$180,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

XML job scraping automation by YubHub

Our mission at Databricks is to simplify the data lifecycle from ingestion to ETL, BI, and ML/AI with a unified platform. We believe the data warehouse architecture will be replaced by a new architectural pattern, Lakehouse, which unifies data warehousing and advanced analytics.

The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, we are building a decoupled query engine and structured storage system that can outperform specialized data warehouses in relational query performance.

As a Staff Software Engineer, you will design these next-generation systems that leapfrog state-of-the-art within the following areas:

• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization

Your responsibilities will include driving requirements clarity and design decisions for ambiguous problems, producing technical design documents and project plans, developing new features, mentoring more junior engineers, testing and rolling out to production, and monitoring.

We look for a passion for database systems, storage systems, distributed systems, language design, or performance optimization. You should be comfortable working towards a multi-year vision with incremental deliverables, be customer-oriented and focused on having an impact, and have 7+ years of experience working in a related system. A PhD in databases or distributed systems is optional.

XML job scraping automation by YubHub

To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (CIDR 2021 paper), open platforms that unify data warehousing and advanced analytics.

A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialised data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science.

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:

• Query compilation and optimisation
• Distributed query execution and scheduling
• Vectorised execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimisation

We look for:

• A passion for database systems, storage systems, distributed systems, language design, or performance optimisation
• Experience working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value and impact
• 8+ years of experience working in a related system (preferred)

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 utilising 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 $192,000-$260,000 USD

XML job scraping automation by YubHub

To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse, open platforms that unify data warehousing and advanced analytics.

A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark to support diverse workloads ranging from ETL to data science.

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:

• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization

We look for individuals with a passion for database systems, storage systems, distributed systems, language design, or performance optimization. You should have experience working towards a multi-year vision with incremental deliverables, motivated by delivering customer value and impact.

The pay range for this role is $192,000-$260,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

XML job scraping automation by YubHub