DatabricksOfficial careers listing

Posted 1mo ago

Staff Forward Deployed Engineer

Pay

Not stated

Location

Remote - India

Remote

Skills this role screens for

PythonScalaAWSAzureGCPKafkaSparkCloudData scienceAnalyticsProfessional services operations

Opens on Databricks's site. Sign in first and we keep it in your pipeline.

Still studying?Paid software internships open now

Responsibilities

What you'll do

  • Partner with customers to solve big data challenges using the Databricks Platform.
  • Deliver tailored data engineering and data science solutions across multiple cloud environments.
  • Develop robust, scalable automation utilities for multi-customer adoption.
  • Apply secure, proven AI-focused problem-solving skills for customers.
  • Collaborate on big data projects like reference architectures, how-to guides, and production tools.
  • Advise strategic customers on big data initiatives including migrations and AI application deployments.
  • Provide architecture and design expertise for successful Databricks solution adoption.
  • Partner with Engineering and Customer Support to resolve issues and drive product improvements.
  • Manage multiple diverse projects, ensuring quality, mitigating risks, and building customer trust.

Requirements

What they're looking for

  • 15+ years experience with Big Data Technologies (Apache Spark™, Kafka, Cloud Native, Data Lakes) in a customer-facing technical role.
  • 6+ years of experience working on Big Data Architectures independently.
  • 2+ years of experience working on AI based implementations (RAG, MCP, Context engineering).
  • Strong experience working in the Databricks ecosystem.
  • Comfortable writing code in Python or Scala.
  • Experience working across Cloud Platforms (GCP / AWS / Azure).
  • Documentation and white-boarding skills.
  • Excellent problem-solving and critical thinking skills.
  • Ability to build technical skills supporting Databricks-based solution deployment and integration.
  • Excellent stakeholder management skills.
Full description from the employer

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.

Databricks

Found on the web. You apply on the company's own site

Where this listing comes from

From Databricks' own careers system (Greenhouse).

insiderOne never charges students to apply. Never pay anyone for an internship. Check an offer you received

Prove Python first

This role screens for Python. Sit a ten-minute live challenge, get a signed receipt, and the employer sees it verified on your application instead of claimed.

Prove it, then apply

Ask about this role

SCOUT, an AI agent, not a person, answers from this ad, and says so when the ad doesn't cover it. No account, and nothing you type here is kept.

More software roles

Every software role here

insiderOne University

Get certified for roles like this: Business Communication Associate

Free, about 2 hours, ending in a project a person reviews and a certificate any employer can check. Put it on this application and every one after it.

Start the certificationWhat is in it

Interned at Databricks? Report what it paid

From the Wire Desk