The Solutions Architect for Customer Lake at Databricks is part of a global go-to-market team focused on driving the adoption of the Customer Data Platform (CDP). This role involves engaging with clients across various business units to build relationships and deliver technical presentations and demonstrations. The architect will provide technical leadership and guidance on customer data and marketing projects, ensuring successful implementations. The position requires collaboration with account teams and influencing product strategy based on customer insights.

• 5+ years in a customer-facing, pre-sales, or consulting role influencing technical executives.
• Minimum 2+ years of experience implementing modern data estate, CDP, and Lakehouse architectures.
• Experience with design and implementation of data and AI applications for marketing and customer engagement.
• Proficient in AI assisted programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Undergraduate degree (or higher) in a technical field such as Computer Science, Data Science, Applied Mathematics, Engineering or similar.

• Provide technical leadership to guide strategic customers to successful implementations on customer data and marketing projects.
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies.
• Serve as an expert Solutions Architect building technical credibility with CMOs and marketing technology leaders.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral.
• Influence product roadmap by translating field-derived insights into strategic recommendations.
• Handle complex technical challenges by acting as the tier-3 escalation point for the field.
• Establish and refine the sales qualification and POC intake process.
• Build strong relationships with both internal and external business partners.
• Drive thought leadership through mentoring and knowledge sharing.