Role at a glance
- Salary
- Not Disclosed
- Location
- Bengaluru, India
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 10+ years of industry experience
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Role Summary
The Staff Software Engineer will build customer-facing workflows and self-serve, modular UI flows in the Databricks Control Plane to support product teams and standard customer journeys. The role partners with platform, product management, backend engineering, and other global cross-functional teams to deliver scalable data and AI platform experiences.
What You'll Do
- Build simple workflows covering multiple user journeys in the Databricks Control Plane.
- Build self-serve and modular UI flows for product teams to create standard customer user journeys.
- Collaborate with global, cross-functional teams, including product management and backend engineers, to deliver software.
- Plan and execute complex projects involving multiple teams and stakeholders.
- Create, deploy, test, and upgrade complex data pipelines with features to visualize data graphs.
- Provide a SQL-centric data exploration and dashboarding experience on Databricks.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
10+ years of industry experience; experience leading large multi-quarter efforts with demonstrated customer or business impact; experience developing large-scale distributed systems from scratch; experience building large-scale products; experience working on a SaaS platform or with Service-Oriented Architectures; motivated by delivering customer value; comfortable working towards a multi-year vision with incremental deliverables; knowledge of current trends and best practices in front-end architecture, including performance, accessibility, security and usability.
Required
- 10+ years of industry experience
- Experience leading large multi-quarter efforts with a demonstrated customer or business impact
- Experience developing large-scale distributed systems from scratch
- Experience building large-scale products
- Experience working on a SaaS platform or with Service-Oriented Architectures
- Motivated by delivering customer value
- Comfortable working towards a multi-year vision with incremental deliverables
- Knowledge of current trends and best practices in front-end architecture, including performance, accessibility, security and usability
Preferred
- Familiarity with server-side web technologies
Original job description
Content provided by the employer
Original job description
Content provided by the employer
P- 1430
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 Staff Software Engineer, you will build customer facing workflows, work with your platform team and product management to have self-serve onboarding of product teams. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.
The Impact you will have
- Build Simple workflows to cover multiple user journeys in Databricks Control Plane
- Build a Self Serve and modular UI flows to help various product teams in databricks to build standard customer user journeys.
- Collaborate with global, cross-functional teams, including product management, backend engineers, to deliver high-quality software.
- Participate in the planning and execution of complex projects involving multiple teams and stakeholders.
- Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs.
- Provide a great SQL-centric data exploration and dashboarding experience on Databricks
- Work in an interactive environment for collaborative data projects at massive scale with an easy path to production.
- Mentor / groom junior full stack engineers
What We Look For:
- 10+ years of industry experience
- Experience leading large multi-quarter efforts with a demonstrated customer or business impact
- Experience developing large-scale distributed systems from scratch
- Comfortable working towards a multi-year vision with incremental deliverables
- Motivated by delivering customer value
- Familiarity with server-side web technologies is a plus
- Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability
- Experience building large-scale products
- Experience working on a SaaS platform or with Service-Oriented Architectures.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.