Summary written by Jobs Hindustan from Databricks' advert and our data on 8,417 current jobs in India. How we check every job
At a glance
Databricks has an opening for Staff Forward Deployed Engineer in Remote, India. It is a full-time fully remote role in Software & IT, asking for at least 15 years of experience, first listed on 31 October. The description mentions Apache Spark, Kafka, Python, Scala, Google Cloud and AWS. Databricks has 83 other openings in India. Across all employers on Jobs Hindustan there are 3,145 Software & IT openings in India today; the typical one asks for 6 years.
Apache SparkKafkaPythonScalaGoogle CloudAWSAzureGenerative AI
Skills in this advert
How often each skill named in this advert appears across the 3,145 software & IT jobs we list in India today. Python is the most widely requested (28% of jobs), while Scala is the least common (2%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on Databricks' Greenhouse site on 31 October 2026 and checked it again 4 November at 5:47 am IST. When an employer takes a job down, we remove it at our next daily update.
- Check the work-from-home terms. This job is listed as remote. Look in the advert below for whether you must live in a particular city or state, and ask whether the company provides a laptop and an internet allowance.
- Match the experience. The advert asks for at least 15 years of experience. If you are a little short, a close match on the skills in the advert can still get you shortlisted.
- Tailor your resume. Use the advert's own words, such as Apache Spark, Kafka and Python, wherever they are true for you. Our resume guide shows how.
- Know your notice period. If you are working now, recruiters will ask how soon you can join. Work out your last working day with our notice period calculator, and read our guide to notice periods and resigning.
- Understand any offer. The CTC in an offer letter is not what reaches your bank account each month. Our CTC to in-hand salary calculator gives a rough monthly figure, and our CTC guide explains each part.
- Apply only through Databricks' own site. Our Apply button goes straight to Databricks' Greenhouse page. If anyone asks you to pay a registration fee, training fee or security deposit for this job, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Databricks
Databricks has 84 openings in India on Jobs Hindustan today across 3 cities. Most are in software & IT (53), data & AI (15) and sales & BD (6). The biggest locations are Bengaluru (78), Mumbai (9) and Delhi (2). 5% of them can be done from home, and none is marked fresher friendly. We collect Databricks' jobs every day straight from its own careers system (Greenhouse), never from job boards, agencies or consultants.
The employer's advert
This is Databricks' own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from DatabricksHide the advert636 words
CSQ427R195
As a Staff FDE in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the Databricks Platform. In this customer-focused role, you will act as a trusted advisor, delivering tailored solutions in data engineering and data science across multiple cloud environments, ensuring successful outcomes for our clients. You come with a strong product development mindset and deliver robust and scalable automation utilities that can be adopted by multiple customers across the domains. You bring in a strong AI focused problem solving skills yet secure and proven guardrails that can be leveraged by the customers across different sectors.
The impact you will have:
- Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies.
- Advise strategic customers on transformational big data initiatives, including third-party migrations and the complete design, build, and deployment of cutting-edge big data and AI applications.
- Provide expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions.
- Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements.
- Simultaneously manage and guide multiple diverse projects, ensuring adherence to well-architected principles and quality standards, proactively identifying and mitigating risks, and building strong customer trust.
What we look for:
- 15+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role
- 6+ years of experience working on Big Data Architectures independently
- 2+ years of experience working on AI based implementations including RAG, MCP, Context engineering etc.
- Strong experience working in the Databricks ecosystem
- Comfortable writing code in either Python or Scala.
- Experience working across Cloud Platforms (GCP / AWS / Azure)
- Documentation and white-boarding skills.
- Excellent problem solving and critical thinking skills that turn business problems in to reliable technical products
- Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects.
- Excellent stakeholder management skills to collaborate with both technical and domain experts
- Highly customer-obsessed, innovative and think beyond the current world and come up with innovative solutions that can last long in the GenAI world
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.
Jobs Hindustan copied this listing from Databricks' official careers site on 30 October 2026 and checked it again 4 November at 5:47 am IST. Databricks never asks candidates for money. If anyone does, it is a scam.
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