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About the role
Databricks is the Data and AI company. Over 20,000 organizations worldwide—including 70% of the Fortune 500—rely on the Databricks Data + AI Platform (featuring Unity Catalog, Lakehouse, Lakeflow, Genie, and Agent Bricks) to build and scale data pipelines, analytics, AI applications, and autonomous agents.
As an Enterprise Solutions Architect, you will partner directly with Enterprise Account Executives (AEs) to define and direct the technical strategy for Databricks’ largest and most strategic accounts ($1M+ ARR). In this high-visibility, technical pre-sales role, you will leverage value selling, executive storytelling, and hands-on technical execution to drive widespread adoption of ML, AI, and cloud data platform capabilities. You will lead virtual technical teams, conduct live/vibe coding sessions, build custom proofs-of-concept (PoCs), and cultivate technical champions across C-suite leaders and hands-on engineering stakeholders.
Key Responsibilities
- Enterprise Technical Strategy: Lead the overall technical strategy and vision for strategic Fortune 500 accounts ($1M+ ARR), translating complex AI/ML capabilities into clear business value.
- Hands-On Demos & PoCs: Build and present custom proofs-of-concept (PoCs), interactive product demos, and technical validation pilots tailored to industry-specific AI use cases.
- Executive Relationship Building: Establish trusted advisor relationships with technical executives (CTOs, CIOs, Chief Data Officers) and engineering influencers to guide data-driven digital transformations.
- Live Coding & Architecture Reviews: Practice live/vibe coding and architectural design sessions with customer technical teams using Python, Scala, Java, or R.
- Virtual Team Leadership: Establish and lead virtual cross-functional technical teams (Data Science Architects, Specialist SAs, Partners) to execute comprehensive account growth plans.
- Mentorship & Community: Provide structured technical mentorship to junior team members, raising technical execution and account strategy standards across the field engineering team.
Requirements
Technical Skills & Production Coding
- Production programming expertise in at least one primary data language: Python, Scala, Java, or R.
- Experience conducting live/vibe coding and interactive technical whiteboarding sessions with customer engineers and architects.
- Deep technical foundation across Data Engineering, Cloud Data Warehousing, Data Science, or Machine Learning/AI.
Pre-Sales & Strategic Account Leadership
- Demonstrated track record in technical pre-sales, technical account management, or technical pre-sales leadership within large global enterprise accounts ($1M+ ARR).
- Proven expertise in value selling methodologies, establishing virtual account teams, and guiding enterprise decision-makers through complex technology transitions.
- Strong track record of driving data-driven business transformation and expanding software platform consumption across diverse industry verticals.
Preferred Qualifications
- Official Databricks Certifications (e.g., Databricks Certified Solutions Architect, Data Engineer, or ML Professional).
- Hands-on experience positioning cloud data platforms against competitive legacy data warehouses or cloud-native competitors.
- Degree in Computer Science, Data Science, Engineering, or a quantitative field.
Total Rewards & Benefits
- Pay Transparency: Compensation / OTE range of $180,000 – $247,500 USD + eligibility for annual performance bonuses and equity grants.
- Healthcare & Wellbeing: Comprehensive medical, dental, and vision insurance options for employees and eligible dependents.
- Financial Security & Time Off: 401(k) retirement program with company match, paid parental leave, flexible time off, and dedicated workspace stipends.

Source: Jobicy · THE BRIEFED never charges candidates.
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