Senior Solutions Architect (Transport)
Lead technical transformation for enterprise customers in Data & AI at Databricks, shaping long-term strategies and mentoring teams.
Posted by employer 1 year ago
First seen on Joblaze 5 months ago
Last verified on the company career page 5 hours ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In the role of Lead Solutions Architect at Databricks, the individual will engage with high-level executives from major enterprise clients to drive the adoption of data and AI technologies, shaping their long-term strategies. Key skills include expertise in data architecture, familiarity with major cloud platforms, and the ability to communicate complex technical concepts to non-technical stakeholders. This position is ideal for someone with significant experience in enterprise-level technology transformation and a collaborative mindset. The role also offers opportunities for mentorship within the technical community, reflecting Databricks' commitment to growth and innovation.
Joblaze insights
- Listed about 5 months ago — first seen on Joblaze May 27, 2026. Last confirmed on Databricks's careers page November 7, 2026.
Quick facts
- Is the Senior Solutions Architect (Transport) role remote?
- No — this is an on-site role in London, United Kingdom.
- Where is the role based?
- Databricks is hiring for this position in London, United Kingdom.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Apache Spark, Azure, Databricks, GCP, Python.
- What seniority level is this role?
- Databricks targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Solutions Architect (Transport) role at Databricks.
From the original posting
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
BenefitsStandard company text repeated across Databricks's postings is omitted here.