Senior Solutions Architect (Banking, Financial Services)

Location: London, United Kingdom

Company

Databricks provides a unified Data and AI Platform for building and scaling data, analytics, AI applications, and agents.

What you will do

• Drive technical and consumption strategies for complex banking and financial services engagements.
• Advise senior executives on enterprise data and AI strategy, platform adoption, and business outcomes.
• Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
• Develop competitive strategies and lead complex enterprise evaluations and platform displacements.
• Coordinate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
• Mentor junior solutions architects and contribute to customer-facing thought leadership, workshops, and community content.

Requirements

• 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
• Expert coding proficiency in Python and SQL; Spark or PySpark experience is preferred.
• Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design, data governance, and cloud-native platforms.
• Expert-level Databricks Platform knowledge or equivalent expertise in competing platforms with demonstrated ability to learn quickly.
• Experience driving consumption growth, platform adoption, competitive displacements, and complex enterprise evaluations.
• Bachelor’s or master’s degree in computer science, engineering, or a quantitative discipline, or equivalent experience.

Nice to have

• Databricks certifications.
• Experience at Databricks, Snowflake, AWS, Google, Microsoft, or a leading data and AI company.
• Published thought leadership, conference talks, or open-source contributions.
• Industry expertise with executive-level domain credibility.

Culture & Benefits

• Comprehensive benefits and perks tailored to the employee’s region.
• Inclusive workplace committed to equal employment opportunity and enabling employees to excel.
• Opportunity to work with a global Data and AI Platform used by more than 20,000 organizations.

Hiring process

• Recruiter screen and hiring manager screen.
• Design and architecture interview followed by a live coding assessment.
• Build, demo, and pitch presentation, followed by a reference check.