Senior Solutions Architect (Transport)

• Databricks certifications
• Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company
• Published thought leadership (blogs, conference talks, open source contributions)
• Industry vertical expertise with executive-level domain credibility

JOB ID: FEQ327R160

Location: London, United Kingdom

Industry: Transport-Industry

Recruiter: Dina Hussain

As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organisation's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype-a recognised technical specialisation that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence.

• Drive the technical and consumption strategy for the organisation's most complex customer engagements, directly influencing platform adoption and revenue growth.
• Own senior-level technical relationships - serving as a trusted advisor on enterprise data and AI strategy
• Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale
• Operate as an Expert on the Databricks Platform with a declared archetype - actively mentoring others and driving horizontal impact across your team
• Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms
• Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions
• Coach and develop junior SAs (L3-L5) on technical depth, customer engagement, and use case prioritisation
• Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement

• 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role
• Expert-level coding proficiency - Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview
• Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms
• Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability)
• Declared technical specialisation with recognised depth - e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions
• Proven track record of driving consumption growth and platform adoption in large accounts
• Executive presence - ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy
• Experience leading competitive displacements and complex enterprise evaluations
• Strong strategic thinking - connecting technical architecture decisions to business outcomes and revenue impact
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued

Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

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