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Databricks

Staff Software Engineer - Fullstack

Bengaluru · Staff/Principal

Older listing - lower visibility likelyVerified listingPosted 57d ago

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Your match scoreCalculated · locked
86Overall
64Skills
97Experience

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What we know about this role

Hiring pulse

HIGH

Databricks is actively reviewing profiles and moving candidates through the pipeline right now.

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First 72 hours

Window passed - posted 57d ago

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Reposted role

This role was posted earlier, closed, and has now reopened - the company is accepting candidates again.

First posted Jun 16, 2025

Skills required

4 listed
Apache SparkDatabricksSQL (Programming Language)Simple.data
Apache SparkDatabricksSQL (Programming Language)Simple.data

You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.

Job description

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.

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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