Senior Solutions Architect (Banking, Financial Services)

Databricks Inc.; Greater London; On-site; GBP 110,000 - 160,000; Full time

Job summary

Databricks Inc. in London seeks a Sr. Solutions Architect to lead the most complex customer engagements and own executive-level relationships, driving the organization's data and AI strategy at scale.

You will coordinate cross-functional teams, architect multi-workload platforms, migrations, and real-time systems, and mentor junior SAs while shaping market strategies and platform adoption across large accounts.

A live coding assessment and platform build are part of the interview process.

Qualifications

• 8+ years in solutions architecture, principal engineering, or senior customer-facing technical roles.
• Expert-level coding proficiency in Python, SQL, Spark/PySpark.
• Deep expertise in enterprise data architecture, distributed systems at scale, and cloud-native platforms.

Responsibilities

• Drive the technical and consumption strategy for the organization's most complex engagements.
• Own senior-level technical relationships and act as a trusted advisor on enterprise data and AI strategy.
• Lead the most complex architecture engagements: multi-workload platforms, migrations, real-time systems, and AI/ML at scale.
• Coordinate cross-functional teams to deliver enterprise-grade solutions and mentor junior SAs.

Skills

Solutions architecture leadership

Python/SQL/Spark

Enterprise data architecture

Databricks platform knowledge

Cross-functional leadership

Executive relationship management

Cloud & data migrations

Mentoring junior SAs

Education

Bachelor's or Master's in CS/Engineering or quantitative field

Tools

Databricks platform

Snowflake

AWS

Google Cloud

Microsoft Azure

Job description

JOB ID: FEQ427R344
Location: London, United Kingdom
Industry: Banking, Financial Services -Industry (UK&I Enterprise)

The Role

As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization'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 recognized technical specialization 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 organization'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 prioritization
• 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 specialization with recognized 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