Waaratechnologies

Job Summary

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 businesses. The ManagedTables team is responsible for Data Intelligence initiatives that underpin the Unity Catalog ManagedTables offering, including 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 customers through these offerings.

Responsibilities

• 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 data format and catalog interface unification efforts to enable strong ecosystem interoperability for ManagedTables.

Impact

• Solve real business needs at large scale by applying software engineering experience and collaborating with product partners.
• Deliver a highly scalable, available, and interoperable architecture for Managed Tables.
• Debug low‑level systems, perform performance measurement, and optimize large production clusters.
• Design architecture, influence product roadmap, and take ownership of new projects.
• Introduce tools that enable greater automation and operability of services.
• Prevent and investigate production issues using deep experience.
• Plan and lead complex technical projects across multiple teams.
• Mentor and up‑level engineers on the team.

Qualifications

• 15+ years of industry experience building and supporting large‑scale distributed systems.
• Passion for database systems, storage systems, distributed systems, language design, or performance optimization.
• Experience driving multi‑year visions with incremental deliverables.
• Motivation to deliver customer value and impact.
• Strong foundation in algorithms and data structures and their real‑world applications.
• Experience driving company initiatives toward customer satisfaction.
• BS/​MS/​PhD in Computer Science or related major, or equivalent experience.

Compensation

Pay Range: $228,600 – $314,250 USD. Compensation may also include eligibility for annual performance bonus, equity, and benefits. Final package depends on location, experience, and other factors.

EEO & Legal

We are committed to fostering a diverse and inclusive culture and hire 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, or other protected characteristics. If access to export‑controlled technology or source code is required for performance of job duties, the employer may decline based on this requirement alone.