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Senior Staff Software Engineer - Enzyme

San Francisco, California💼 Full-time💰 $235,000–$235,000🗓 2026-04-09 → 2026-07-31

Core

Leading the engineering of next-generation Materialized View features for large-scale ETL workloads and query acceleration within a distributed data platform.

Role type

Senior Staff Software Engineer (Technical Lead)

Builds

Scalable, fault-tolerant architecture for materialized views and query optimization systems

Domain

Data Engineering / Distributed Systems / Database Systems

Deliverable

production ML models | product features | infrastructure

Required skills

Large-scale distributed systems, database systems, storage systems, language design, performance optimization, algorithms and data structures, architecture design, technical project leadership

Preferred skills

Multi-year vision planning, customer value delivery, cross-team collaboration

Technologies

Apache Spark, Delta Lake, Materialized Views, Structured Streaming, Delta Live Tables

Responsibilities

Design and implement next-gen systems for incremental maintenance of materialized views, optimize queries, manage resources, build efficient storage structures, automate service operability, investigate production issues, lead complex technical projects

Seniority

Senior Staff, hands-on IC with strategic leadership

Rewrite
## Job Title Senior Staff Software Engineer - Enzyme ## Location Mountain View, California ## Responsibilities - Design and implement next generation systems for Materialized Views to leapfrog state-of-the-art. - Work in one or more of the following areas: incrementally maintaining materialized views, query optimization, resource management, efficient storage structures, and automatic physical data optimization. - Solve real business needs at large scale by applying software engineering. - Deliver a highly scalable, available, and fault-tolerant architecture for materialized views. - Perform low-level systems debugging, performance measurement, and 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 deep experience to help prevent and investigate production issues. - Plan and lead complicated technical projects that work with several teams within the company. ## Requirements - 15+ years industry experience building and supporting large-scale distributed systems. - 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. ## Benefits - Competitive salary and total compensation package including annual performance bonus, equity, and benefits. - Opportunity to work on large-scale data engineering platforms processing exabytes of data daily. - Collaborate with cross-functional teams to build next-generation features for Materialized Views. - Work in a dynamic and innovative environment with a focus on solving complex data and AI challenges. ## Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is $235,000 - $295,000 USD. 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. ## 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.
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