Staff Forward Deployed Engineer

🕒 July 8

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

👷🏻‍♀️ Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ 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.