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. Youll 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 Role
As 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.
Required Qualifications
- 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.
Preferred Qualifications
- 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.
Key Competencies
- Strategic and technical acumen
- Relationship-building skills
- Execution-focused mindset
- Commitment to learning and innovation
- Team player with a collaborative approach
Required Experience:
IC
Req ID FEQ426R407At 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 inf...
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. Youll 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 Role
As 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.
Required Qualifications
- 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.
Preferred Qualifications
- 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.
Key Competencies
- Strategic and technical acumen
- Relationship-building skills
- Execution-focused mindset
- Commitment to learning and innovation
- Team player with a collaborative approach
Required Experience:
IC
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