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# Senior Solutions Architect (Data & AI) - Leeds based

- **Company:** Inclusionat Databricks
- **Location:** Leeds, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Engineering, Data Architecture, Data Governance, Software Design Patterns, Distributed Systems, Python (Programming Language), Open Source Technology, SAS (Software), SQL Databases, SQL Server Analysis Services, Real Time Systems, Snowflake, Apache Spark, AI Platforms, Pyspark, Information Technology, Databricks
- **Published:** October 4, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-solutions-architect-data-ai-leeds-based/50262023

## About the Role

serving as a trusted advisor on enterprise data and AI strategyLead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time 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 prioritisationContribute 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, impactBachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valuedNice to Have:Databricks certificationsPrior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI companyPublished thought leadership (blogs, conference talks, open source contributions)Industry experience in Retail or Consumer Packaged Goods with executive-level domain credibilityInterview Process:Recruiter Screen * Hiring Manager Screen * Design and Architecture Interview * Live Coding Assessment * Build, Demo, Pitch! Presentation * Reference CheckAbout DatabricksDatabricks 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+

## Description

JOB ID: FEQ427R333Location: The customer is based in Leeds or Manchester, United KingdomIndustry: Enterprise Retail or CPG (UKI Enterprise) - The customer is based in Leeds. You will be visiting the client or based there for 2-3 days a week.The RoleAs a Senior 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 HaveDrive 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, 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 specialisation with recognised 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