Sr. Staff Software Engineer - Data Platform at Databricks Canada ULC

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

303550.0

Posted On

10 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Data Engineering, Distributed Systems, Technical Leadership, Architecture, Data Protection, Data Transformation, Data Governance, CI/CD, Infrastructure-as-Code, Data Pipelines, Mentoring, Communication, Cross-Functional Collaboration, Strategic Mindset

Industry

Software Development

Description

RDQ126R106 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. As a Sr. Staff Software Engineer working on the Data Platform team, you will leverage bleeding-edge AI developer tools and techniques to help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, and many more. You will define the future of a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, and data consumption layers, just to name a few. The impact you will have: Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protection and ease of shareability for the Data Intelligence Platform as we transition to a public company. Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies, and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling. Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product. Build reliable data pipelines and solve data problems using Databricks, our partner’s products, and other OSS tools. Provide early feedback on the design and operations of these products. Represent Databricks at academic and industrial conferences & events. What we look for: AI first mindset - Your personal productivity is augmented with AI to drive high-impact, technically complex initiatives and code that delivers clear value. BS/MS/PhD in Computer Science or related majors, or equivalent experience. 15+ years of industry experience building and operating large-scale distributed systems. 6+ years of experience providing technical leadership on planet-scale production data systems Experience leading architecture efforts for performance-sensitive systems (e.g., latency-critical services, multi-tenant platforms, large-scale indexing pipelines). Strong communication skills and the ability to operate effectively in fast-paced, cross-functional environments. A strategic mindset with the ability to align engineering execution with longer-term product and company goals. Passion for mentoring and developing other engineers. 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. Zone 1 Pay Range $228,400—$303,550 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 Twitter, LinkedIn 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.

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Responsibilities

Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies, and deployment types.