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Senior Staff Software Engineer - Enzyme

Job Title: Senior Staff Software Engineer - Enzyme 

Location: Seattle, Washington

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P-1183

 

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

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 base 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 utilizes 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
$220,000$280,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

Benefits

At 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, please visit https://www.mybenefitsnow.com/databricks

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering 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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Average salary estimate

$250000 / YEARLY (est.)
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$220000K
$280000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Staff Software Engineer - Enzyme, Databricks

If you're an experienced coder with a passion for tackling complex challenges, Databricks has the perfect opportunity for you as a Senior Staff Software Engineer - Enzyme in Seattle, Washington. Here at Databricks, we are driven by our mission to enable data teams to solve the world's toughest problems, from revolutionizing transportation to speeding up medical breakthroughs. As part of our Lakeflow Engineering team, you will take the lead on our Materialized Views engineering section, where you'll be designing and implementing next-gen systems that enhance ETL product lines, including features that significantly boost query performance and optimize data management. With your extensive experience—15+ years in building large-scale distributed systems—you will create scalable and fault-tolerant architectures, helping us maintain our position as a leader in the industry. You'll delve into challenging areas like query optimization and resource management, contributing to the ongoing evolution of systems that process exabytes of data daily. Collaborating with various teams, you will take ownership of innovative projects while introducing tools to improve automation. If you're motivated by delivering impactful solutions and have a solid foundation in algorithms and data structures, we'd love to hear from you. So, if you're ready to make a difference at Databricks, apply today and be part of a team that's shaping the future of data and AI.

Frequently Asked Questions (FAQs) for Senior Staff Software Engineer - Enzyme Role at Databricks
What are the main responsibilities of a Senior Staff Software Engineer - Enzyme at Databricks?

As a Senior Staff Software Engineer - Enzyme at Databricks, you will be responsible for leading the Materialized Views engineering team. Your primary duties include designing and implementing next-generation features for ETL workloads, optimizing query performance, and developing scalable architectures for managing materialized views. You will also lead complex technical projects and collaborate with multiple teams to deliver innovative solutions that meet real business needs.

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What qualifications are needed for the Senior Staff Software Engineer - Enzyme position at Databricks?

To be considered for the Senior Staff Software Engineer - Enzyme role at Databricks, candidates should have at least 15 years of industry experience in building large-scale distributed systems. A strong background in algorithms and data structures is important, along with expertise in database systems, storage systems, and performance optimization. A degree in Computer Science or a related field is preferred, but equivalent experience is also considered.

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How does Databricks support career growth for Senior Staff Software Engineers?

At Databricks, career growth for Senior Staff Software Engineers is fostered through mentorship, collaboration on innovative projects, and access to cutting-edge technologies. The dynamic environment encourages continuous learning and professional development, allowing you to explore various aspects of big data and AI. With a commitment to delivering customer value, you'll have opportunities to lead initiatives that impact the company's product roadmap.

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What impact does a Senior Staff Software Engineer - Enzyme have on Databricks’ projects?

As a Senior Staff Software Engineer - Enzyme, your impact at Databricks is significant. You'll solve complex business challenges by designing highly available and fault-tolerant systems, ensuring our ETL products run efficiently on an immense scale. Your work will contribute directly to enhancing performance and reliability, ultimately helping countless organizations leverage data to drive their success.

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What is the work culture like for a Senior Staff Software Engineer at Databricks?

The work culture for a Senior Staff Software Engineer at Databricks is collaborative and inclusive, with a strong focus on innovation and customer satisfaction. Team members are encouraged to share ideas and take ownership of their projects, fostering an environment where creativity and technical excellence thrive. Databricks values diversity and inclusion, creating a supportive workplace where everyone can excel.

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Common Interview Questions for Senior Staff Software Engineer - Enzyme
Can you describe your experience with distributed systems?

When answering this question, it's important to highlight specific projects where you've designed or optimized distributed systems. Discuss the challenges you faced and the solutions you implemented, emphasizing your role and the technologies you employed.

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What strategies do you use for optimizing query performance?

For this question, outline your methodology for query optimization, such as indexing strategies, understanding execution plans, and using performance metrics to tune queries. Provide examples of how you've successfully improved query performance in past projects.

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How would you approach designing a scalable architecture for ETL processes?

In your response, discuss key principles of scalable architecture, such as modularity, horizontal scaling, and the use of cloud technologies. Provide examples of how you've applied these principles in previous roles, focusing on the specific outcomes achieved.

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What are some challenges you've faced while building materialized views?

When discussing challenges, be honest about past struggles, such as maintaining data consistency or handling large data volumes. Describe how you overcame these challenges through innovative solutions, showcasing your problem-solving abilities.

Join Rise to see the full answer
How do you ensure high availability and fault tolerance in your systems?

Explain your approach to building high availability into systems, perhaps by using redundancy, failover strategies, and regular backups. Give specific examples of how you implemented these strategies to ensure system reliability.

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How do you prioritize features when developing a product roadmap?

Demonstrate your ability to balance customer needs with technical constraints by discussing how you evaluate feedback, market trends, and long-term goals. Providing an example of a successful prioritization process can strengthen your answer.

Join Rise to see the full answer
Can you explain your experience with performance measurement on large clusters?

Share your experience with performance measurement tools and techniques you've used to analyze system performance. Highlight any specific metrics you monitored and how this influenced your engineering decisions.

Join Rise to see the full answer
What tools or practices do you introduce to improve system automation?

Discuss your experience with automation tools like CI/CD pipelines or infrastructure as code practices. Illustrate how these tools helped streamline processes and provided notable improvements in operational efficiency.

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How do you handle production issues when they arise?

Explain your process for troubleshooting production issues, such as gathering logs, conducting root cause analysis, and implementing fixes. Discuss any frameworks or methodologies you use to ensure swift resolution and minimal downtime.

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What motivates you when leading a technical team?

Share your motivation for leading teams, focusing on collaboration, growth opportunities for team members, and achieving impactful results. Use examples from past leadership roles to demonstrate your style and effectiveness.

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Databricks, the data and AI company, helps data teams solve the world’s toughest problems.

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DATE POSTED
March 29, 2025

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