> Markdown version of [/jobs/ext/2688271-sr-specialist-solutions-architect](https://www.wearedevelopers.com/jobs/ext/2688271-sr-specialist-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Specialist Solutions Architect - **Company:** Inclusionat Databricks - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Engineering, Data Architecture, Data Governance, Software Design Patterns, Distributed Systems, Python (Programming Language), SAS (Software), SQL Databases, SQL Server Analysis Services, Apache Spark, AI Platforms, Pyspark, Information Technology, Databricks - **Published:** September 3, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/sr-specialist-solutions-architect/45869260 ## About the Role systems, and AI/ML at scaleOperate as an Expert on the Databricks Platform with a declared archetype - actively mentoring others and driving horizontal impact across your teamDevelop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platformsOrchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutionsCoach and develop junior SAs (L3-L5) on technical depth, customer engagement, and use case prioritizationContribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagementWhat We Look For8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical roleExpert-level coding proficiency - Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interviewDeep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platformsExpert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability)Declared technical specialization with recognized depth - e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutionsProven track record of driving consumption growth and platform adoption in large accountsExecutive presence - ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategyExperience leading competitive displacements and complex enterprise evaluationsStrong strategic thinking - connecting technical architecture decisions to business outcomes and revenue impactBachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valuedNice to Have:Databricks ## Description ReqID: FEQ427R340Location: LondonSkills: Platform & SecurityThe RoleAs a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization'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 recognized technical specialization 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 HaveDrive the technical and consumption strategy for the organization'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 strategyLead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)