Req ID FEQ426R407
At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!
About the RoleAs a Field Engineer specializing in Databricks Strategic Built on Partners, you will be the technical expert supporting strategic partners who build their B2B, customer-facing products on the Databricks platform. You will play a central role in solution architecture, enablement, evaluation, and collaborative innovation, helping partners design, deploy, and optimize robust and scalable data and AI-powered solutions, powered by Databricks.
Key Responsibilities- Partner Technical Leadership: Serve as the technical authority for prospective and current Built on strategic partners building products and solutions on Databricks.
- Well-Architected Framework: Develop and continuously optimize a framework of best practices and guidelines for building and operating reliable, secure, efficient, and cost-effective workloads on Databricks.
- Solution Architecture: Guide partners through solution design and integration, delivering architecture best practices for data engineering, data science, and AI workloads.
- Enablement & Workshops: Deliver technical enablement, training, and workshops to upskill partner technical teams on Databricks’ capabilities and advanced features.
- Proof of Concept Execution: Lead and support POCs and pilots, addressing technical challenges and highlighting the value of Databricks in the Built on partner solution context.
- Technical Escalation Management: Provide direct technical support as an escalation point for deployment, integration, and performance issues.
- Relationship Management: Build strong, trust-based relationships with partner engineering teams and collaborate closely with Databricks’ internal Product, Field Engineering, and Sales teams.
- Thought Leadership: Represent Databricks in strategic partner meetings and events. Advocate for the needs of Built on partners internally to influence the Databricks product roadmap.
- Best Practice Development: Develop and share reusable frameworks, guides, and reference architectures for partner enablement.
- Continuous Learning: Stay up-to-date with new data and AI trends, platform features, and industry best practices to ensure partners benefit from cutting-edge capabilities.
- Minimum 7 years’ experience in field engineering, solution architecture, or partner-facing technical roles in the cloud, data, or AI/ML domains.
- Deep hands-on expertise with Databricks, Spark, and related data/AI platforms.
- Proven capability in designing and delivering large-scale data and AI architectures for partners or enterprise customers.
- Strong proficiency in cloud-native architectures (Azure, AWS, GCP), Python and/or Scala, and orchestration frameworks.
- Demonstrated experience managing technical relationships and projects in a partner ecosystem.
- Excellent communication, presentation, and consultative skills.
- Experience conducting technical workshops and enablement sessions.
- Ability to lead and resolve complex technical challenges in fast-paced, ambiguous environments.
- Experience with building or supporting ISV solutions, SaaS platforms, or integration ecosystems.
- Working knowledge of ML/AI frameworks, data governance, security, and compliance in cloud environments.
- Previous experience driving go-to-market initiatives with strategic partners.
- Open-source contributions or community engagement in data and AI technologies.
- Strategic and technical acumen
- Relationship-building skills
- Execution-focused mindset
- Commitment to learning and innovation
- Team player with a collaborative approach
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
