Databricks
Data and AI
Sr.StaffSoftwareEngineer-ManagedTables
Neural analysis suggests this role is
optimal for Lead candidates.
“Sr. Staff Software Engineer - Managed Tables at Databricks. Skills: large-scale distributed systems, database systems, storage systems, performance optimization, architecture design. optimizing exabytes of data and saving millions of dollars annually for our customers through the Data Intelligence offerings. realizing enterprise grade autonomous analytical datasystems - that ensure the best performance out-of-the-box”
What You'll Achieve.
optimizing exabytes of data and saving millions of dollars annually for our customers through the Data Intelligence offerings; ensure the best performance out-of-the-box; Deliver a highly scalable, available, and inter-operable architecture for Managed Tables
Industry & Context.
Solve real business needs at large scale; Low level systems debugging; performance measurement & optimization on large production clusters; help prevent and investigate production issues
What They're Looking For.
Must Have
15+ years industry experience building and supporting large-scale distributed systems, foundation in algorithms and data structures and their real-world use cases, BS/MS/PhD in Computer Science or related majors, or equivalent experience
Nice to Have
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, Experience driving company initiatives towards customer satisfaction
What You'll Do.
optimizing exabytes of data and saving millions of dollars annually for our customers through the Data Intelligence offerings
realizing enterprise grade autonomous analytical datasystems - that ensure the best performance out-of-the-box
design and implement these next gen systems that leapfrog state-of-the-art
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 the Data format and Catalog interface unification efforts and enable ecosystem interoperability for ManagedTables
Solve real business needs at large scale by applying your software engineering experience
Deliver a highly scalable
and inter-operable architecture for Managed Tables
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
Mentor and up-level engineers on the team
How You'll Work.
Team & Collaboration
driving collaboration with Product partners; Plan and lead complicated technical projects that work with several teams within the company
Process & Methodology
Plan and lead complicated technical projects
Full Job Description
P-1093 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. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The ManagedTables team at Databricks is responsible for the DataIntelligence initiatives that underpin the Unity Catalog ManagedTables offering. This encompasses 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 our customers through the Data Intelligence offerings. As part of this team, you will be working on realizing enterprise grade autonomous analytical datasystems - that ensure the best performance out-of-the-box. You will design and implement these next gen systems that leapfrog state-of-the-art: 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 the Data format and Catalog interface unification efforts and enable strong ecosystem interoperability for ManagedTables The Impact you will have: Solve real business needs at large scale by applying your software engineering experience and by driving strong collaboration with Product partners Deliver a highly scalable, available, and inter-operable architecture for Managed Tables. Low leve
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