Note: The job is a remote job and is open to candidates in USA. Databricks is a leading data and AI company that provides a unified platform for data science and analytics. The Lead Specialist Solutions Architect will support strategic partners in building B2B products on the Databricks platform, focusing on solution architecture, technical enablement, and fostering collaborative innovation to address complex data challenges.
Responsibilities
• Serve as the technical authority for prospective and current Built on strategic partners building products and solutions on Databricks.
• Develop and continuously optimize a framework of best practices and guidelines for building and operating reliable, secure, efficient, and cost-effective workloads on Databricks.
• Guide partners through solution design and integration, delivering architecture best practices for data engineering, data science, and AI workloads.
• Deliver technical enablement, training, and workshops to upskill partner technical teams on Databricks’ capabilities and advanced features.
• Lead and support POCs and pilots, addressing technical challenges and highlighting the value of Databricks in the Built on partner solution context.
• Provide direct technical support as an escalation point for deployment, integration, and performance issues.
• Build strong, trust-based relationships with partner engineering teams and collaborate closely with Databricks’ internal Product, Field Engineering, and Sales teams.
• Represent Databricks in strategic partner meetings and events. Advocate for the needs of Built on partners internally to influence the Databricks product roadmap.
• Develop and share reusable frameworks, guides, and reference architectures for partner enablement.
• Stay up-to-date with new data and AI trends, platform features, and industry best practices to ensure partners benefit from cutting-edge capabilities.
Skills
• 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.
Benefits
• Annual performance bonus
• Equity
Company Overview
• Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. It was founded in 2013, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.databricks.com.
Company H1B Sponsorship
• Databricks has a track record of offering H1B sponsorships, with 318 in 2025, 319 in 2024, 227 in 2023, 222 in 2022, 166 in 2021, 64 in 2020. Please note that this does not guarantee sponsorship for this specific role.
