高级解决方案架构师（数据与AI）
Senior Solutions Architect (Data & AI)
JOB ID: FEQ427R333
地点：英国利兹/曼彻斯特 - 远程合同职位
行业：企业零售或快消品（UKI 企业）
职位描述
作为高级解决方案架构师，您是负责组织最复杂客户项目的专家级技术领导者。您推动消费策略，负责高管层面的关系，并成为您客户账户的权威技术专家。您已明确自己的技术专长——一种被认可的技术专长，使您成为团队和区域内的倍增器。您在深厚的技术能力、战略客户规划和高管影响力之间运作。
您将产生的影响
- 推动组织最复杂客户项目的的技术和消费策略，直接影响平台采用率和收入增长。
- 负责高级别的技术关系——作为企业数据和AI策略的可信顾问
- 领导最复杂的架构项目：多工作负载平台、全企业迁移、实时系统以及大规模的AI/ML
- 作为Databricks平台的专家，拥有明确的技术专长——积极指导他人，并在您的团队中产生横向影响
- 为您的客户制定并执行竞争策略，将Databricks与现有和新兴平台进行对比
- 协调跨职能团队（DSAs、SSAs、合作伙伴、产品）以交付企业级解决方案
- 指导和培养初级SAs（L3–L5）在技术深度、客户互动和用例优先级方面的能力
- 通过面向客户的资料、研讨会和社区参与，为现场工程提供思想领导力
我们寻找的人选
- 8年以上解决方案架构、首席工程、技术售前领导或高级客户技术岗位经验
- 具备专家级编码能力——Python、SQL，最好有Spark/PySpark。您将在面试期间完成实时编码评估和平台构建
- 在企业数据架构方面有深入专业知识：大规模分布式系统、流式/实时处理、数据湖设计模式、数据治理框架和云原生平台
- 对Databricks平台有专家级知识（或在竞争对手平台上有同等深度并展示出快速学习能力）
- 拥有被认可深度的技术专长——例如实时架构、ML/AI平台、数据治理、大型
查看英文原文
JOB ID: FEQ427R333
Location: Leeds/Manchester, United Kingdom - remote contract
Industry: Enterprise Retail or CPG (UKI Enterprise)
The Role
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
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.