Solutions Architect (Digital Native Business)

Overview

In this role you will steer the technical strategy for Databricks customers, owning architecture discussions and driving platform adoption. You will design scalable, production-grade data and AI solutions across data engineering, ML/AI, and real-time analytics, acting as a trusted advisor to customer technical leads and architects. You will position Databricks as the foundation of clients’ data and AI strategies and lead cross-functional delivery with DSAs, SSAs, and partners. You will influence product direction through structured customer feedback and competitive insights. This role offers impact across large accounts and opportunities to shape cloud-native architectures.

Responsibilities

• Own end-to-end technical strategy for accounts from discovery to deployment and growth
• Lead complex architecture discussions spanning data engineering, ML/AI, and real-time analytics
• Serve as trusted technical advisor to customer architects and engineering leads
• Demonstrate Databricks differentiation through custom solutions and technical wins
• Develop emerging technical specialisation (archetype) and become a go-to resource
• Coordinate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions
• Provide structured feedback on customer requirements and competitive gaps to influence product direction

Key requirements

• 6+ years in solutions architecture, data engineering, technical pre-sales, or senior hands-on role
• Strong coding proficiency in Python and SQL with live coding and debugging abilities
• Deep expertise in distributed data systems architecture (pipelines, streaming, lakehouse, cloud-native platforms)
• Proficient on the Databricks Platform with developing technical specialisation in one area
• Experience leading architecture discussions with senior technical stakeholders (whiteboarding, design reviews)
• Experience with production deployments on public cloud (AWS, Azure, or GCP) including security and governance
• Track record of driving platform adoption and consumption growth
• Excellent communication skills translating complex architectures to business value
• Bachelor or Master degree in Computer Science, Engineering, or a quantitative discipline (or equivalent)

• strong communication
• stakeholder management
• leadership and collaboration
• Python
• SQL
• distributed data systems

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