# Senior Solutions Architect (Data & AI) - Leeds based at Databricks > Remote · United Kingdom · Staff · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Adatabricks%3A8585599002 (read 2026-11-04). ## Facts (observed) - Company: [Databricks](https://alderhq.app/companies/databricks) - Location text: Remote - United Kingdom; London, United Kingdom - Where it can be done from (inferred): Remote · United Kingdom (evidence: "Location: Remote - United Kingdom; London, United Kingdom") - Posted: 2026-06-25 (132 days ago) - First seen by alder: 2026-11-03 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://databricks.com/company/careers/open-positions/job?gh_jid=8585599002 - Skills listed (inferred): Python, AWS, Spark, Snowflake, SQL, Distributed systems ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (London, n 19): p25 £136k, median £155k, p75 £199k - H-1B filings at this company for similar roles, FY26: 356, median offered wage $157k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) - Recognised sponsor (NL): registered as "Databricks" (checked 2026-11-03, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants)) - Licensed UK sponsor: registered as "Databricks UK Limited" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) ### JOB ID: FEQ427R333 ### Location: The customer is based in Leeds or Manchester, United Kingdom Industry: 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 Role As 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 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 ### What We Look For - 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 Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check ### About Databricks 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Adatabricks%3A8585599002 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.