Lead Specialist Solutions Architect - Built on Partners

Databricks

74d • $228,800 - $320,300

About The Position

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!

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• Comprehensive benefits and perks that meet the needs of all employees.
• Eligibility for annual performance bonus, equity, and other benefits.

What This Job Offers

• Number of Employees: 5,001-10,000 employees