Senior Solutions Architect (Transport)
Databricks14 days ago
London, United KingdomSenior
Responsibilities
- Drive technical and consumption strategy for the organisation's most complex customer engagements.
- Own senior-level technical relationships and advise customers on enterprise data and AI strategy.
- Lead complex architecture engagements involving multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale.
- Act as an expert on the Databricks Platform and drive horizontal impact across the team and region.
- Develop competitive strategies and position Databricks against incumbent and emerging platforms.
- Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
- Coach and develop junior Solutions Architects on technical depth, customer engagement, and use-case prioritisation.
- Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement.
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, ideally including Spark/PySpark; the interview includes a live coding assessment and platform build.
- Deep expertise in enterprise data architecture, distributed systems at scale, streaming/real-time systems, lakehouse design patterns, data governance frameworks, and cloud-native platforms.
- Expert-level Databricks Platform knowledge or equivalent depth in competing platforms with demonstrated ability to learn quickly.
- Recognised depth in a technical specialisation 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.
- 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.
- Databricks certifications, experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, published thought leadership, and industry vertical expertise are preferred.
Benefits
- Comprehensive benefits and perks are offered, with specific details provided for the employee's region.
- 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.