Lead Specialist Solutions Architect - Built on ... @ Databricks
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About Databricks
At Databricks, our core principles drive a culture of proactiveness and customer-centricity. Our Data Intelligence Platform makes data science and analytics accessible, enabling customers to turn insights into action.
About The Role
As a Field Engineer specialized in Databricks Strategic Built on Partners, you will be the technical expert supporting strategic partners building customer-facing products on the Databricks platform. You will provide technical leadership in solution architecture, enablement, and evaluation, helping partners design, deploy, and optimize scalable data and AI solutions.
Key Responsibilities
- Partner Technical Leadership for Built on strategic partners
- Develop and optimize well-architected frameworks for Databricks workloads
- Guide solution design and integration for data, AI, and engineering efforts
- Deliver technical enablement, training and workshops
- Lead proof of concept execution and technical escalation management
- Build trust-based relationships with partner teams and internal stakeholders
- Represent Databricks in strategic meetings and technical events
- Develop best practice guides and reusable frameworks
- Continuously update on data and AI trends
Required Qualifications
- Minimum 7 years’ experience in field engineering, solution architecture, or partner-facing roles
- Hands-on expertise with Databricks, Spark and data/AI platforms
- Proficiency in cloud-native architectures (Azure, AWS, GCP), Python and/or Scala
- Experience in managing technical relationships and executing projects
- Excellent communication and presentation skills
- Experience in conducting technical workshops and enablement sessions
Preferred Qualifications
- Experience with ISV solutions or SaaS platforms
- Knowledge of ML/AI frameworks, data governance, and security in cloud environments
- Experience driving go-to-market initiatives with strategic partners
- Open-source contributions in data and AI technologies
Key Skills/Competency
- Databricks
- Field Engineering
- Solution Architecture
- Cloud Architecture
- Data Engineering
- AI/ML
- Python
- Scala
- Workshops
- Partner Enablement
Compensation
The pay range for this role spans from $228,800 to $320,300 USD, with full compensation consideration based on experience and location factors. Additional components may include performance bonuses, equity, and benefits.
About Databricks and Benefits
Databricks is the data and AI company, serving over 10,000 organizations worldwide, including Fortune 500 companies. We offer comprehensive benefits and are committed to diversity and inclusion in our hiring practices.
How to Get Hired at Databricks
🎯 Tips for Getting Hired
- Customize your resume: Highlight field engineering and architecture experience.
- Research Databricks culture: Understand their data and AI mission.
- Showcase cloud skills: Emphasize cloud-native and coding expertise.
- Prepare for technical interviews: Review solution architecture and POC scenarios.