Role at a glance
- Salary
- Not Disclosed
- Location
- Remote - India
- Work arrangement
- Remote
- Employment
- Full-time
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Role Summary
The Staff FDE joins Databricks’ Professional Services team to help customers address big data challenges using the Databricks Platform. The role delivers tailored data engineering, data science, automation, and AI solutions across multiple cloud environments while supporting customer adoption and product improvement.
What You'll Do
- Collaborate on customer big data projects by creating reference architectures, developing how-to guides, and building production-ready...
- Advise strategic customers on big data initiatives, including third-party migrations and the design, build, and deployment of big data...
- Provide architecture and design expertise to support customer projects and the adoption and integration of Databricks solutions.
- Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive product improvements.
- Manage and guide multiple projects while identifying and mitigating risks and maintaining quality standards.
- Deliver automation utilities and secure AI guardrails that can be adopted across customers and sectors.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
15+ years of experience with big data technologies in a customer-facing post-sales, technical architecture, or consulting role; 6+ years independently working on big data architectures; 2+ years working on AI-based implementations including RAG, MCP, and context engineering; experience with Databricks, Python or Scala, and GCP, AWS, or Azure; documentation, white-boarding, problem-solving, critical-thinking, and stakeholder-management skills.
Required
- 15+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing...
- 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
Original job description
Content provided by the employer
Original job description
Content provided by 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.
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.