Senior Solutions Architect – Data & AI

🕒 July 27

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 33%

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Drive technical and consumption strategy for complex customer engagements, influencing platform adoption and revenue growth • Own senior-level technical relationships and advise on enterprise data and AI strategy • Lead complex architecture engagements involving 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, mentoring others and driving horizontal impact • Develop and execute competitive strategies positioning Databricks against incumbent and emerging platforms • Orchestrate cross-functional teams including DSAs, SSAs, Partners, and Product to deliver enterprise-grade solutions • Coach and develop junior Solutions Architects on technical depth, customer engagement, and use-case prioritisation • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement

🎯 Requirements

• 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role • Expert-level coding proficiency in Python and SQL; ideally Spark/PySpark • Completion of a live coding assessment and platform build during the interview • Deep expertise in enterprise data architecture, including 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, such as 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 • 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 • Nice to have: Databricks certifications; prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company; published thought leadership; Retail or Consumer Packaged Goods industry experience

🏖️ Benefits

• Comprehensive benefits and perks tailored to employees' regional needs (specific details linked in the posting)

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