Senior Solutions Architect (Banking, Financial Services)
Databricks4 days ago
London, United KingdomSenior
Responsibilities
- Drive technical and consumption strategy for complex customer engagements and influence platform adoption and revenue growth.
- Own senior-level technical relationships and advise executives on enterprise data and AI strategy.
- Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
- Serve as a Databricks Platform expert with a declared technical specialization and contribute horizontal impact across the team and region.
- Develop competitive strategies and lead complex enterprise evaluations and competitive displacements.
- Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
- Coach and develop junior Solutions Architects at L3–L5 levels.
- Contribute customer-facing thought leadership through content, workshops, and community engagement.
- Complete a live coding assessment and platform build during the interview process.
Requirements
- 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Expert-level coding proficiency in Python and SQL, with Spark/PySpark preferred.
- Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design patterns, data governance, and cloud-native platforms.
- Expert-level knowledge of the Databricks Platform or equivalent depth in competing platforms with demonstrated ability to learn quickly.
- Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
- Proven success driving consumption growth and platform adoption in large accounts.
- Ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy.
- Strong strategic thinking connecting 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.
- Databricks certifications, prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company are preferred.
- Published thought leadership and industry-vertical expertise with executive-level domain credibility are preferred.
Benefits
- Comprehensive benefits and perks are offered, with region-specific details available through the company benefits information.
- The role is located in London, United Kingdom.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.