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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Solutions Architect (Data & AI) - **Company:** Databricks, Inc. - **Location:** UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Programming, Data Governance, Software Design Patterns, Distributed Systems, Python (Programming Language), Open Source Technology, SAS (Software), SQL Databases, SQL Server Analysis Services, Cloud Platform System, Real Time Systems, Snowflake, Apache Spark, AI Platforms, Pyspark, Information Technology, Databricks - **Published:** September 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6d46b9aba59e8e0c ## About the Role * 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 Nice to Have: * 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 experience in Retail or Consumer Packaged Goods with executive-level domain credibility ## Description 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. The Impact You Will Have * 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)