Europe Arbeitnow ·
full-timeSenior Solutions Architect (transport)
Databricks · London
JOB ID: FEQ327R160 Location: London, United Kingdom Industry: Transport-Industry Recruiter: Dina Hussain 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 vertical expertise 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 — includi
| Role | Senior Solutions Architect (transport) |
|---|---|
| Company | Databricks |
| Location | London |
| Type | full-time |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Databricks
Databricks is a data and AI company that provides a unified platform built on an open lakehouse architecture. The platform is designed to help organizations manage data, analytics, and AI governance in one place, enabling both technical teams and general users to build, deploy, and manage production-ready applications and AI agents. Founded in 2013 by the creators of the lakehouse architecture and several open-source projects, the company focuses on democratizing data insights through automation and natural language tools. Databricks serves over 20,000 customers globally, including more than 60% to 70% of the Fortune 500. Headquartered in San Francisco, the company maintains a global presence supported by a network of over 1,200 cloud, ISV, and consulting partners.
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