Solutions Architect
Databricks2 hours ago
London, United KingdomSenior
Responsibilities
- Own the end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
- Lead architecture discussions and design scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics.
- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors.
- Drive technical wins through custom-built solutions that demonstrate Databricks differentiation.
- Develop a technical specialization and become a go-to resource for the team in that domain.
- Coordinate DSAs, SSAs, and partners to deliver comprehensive solutions for complex customer needs.
- Provide structured customer and competitive feedback to influence product direction.
Requirements
- 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Strong proficiency in Python and SQL, including live coding, debugging, and solution building.
- Deep expertise in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Proficiency with the Databricks Platform or the ability to become proficient rapidly, along with a developing technical specialization.
- Experience leading architecture discussions, whiteboarding, design reviews, and trade-off analysis with senior technical stakeholders.
- Experience deploying production solutions on AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
- Track record of driving platform adoption and consumption growth within customer accounts.
- Excellent communication skills for translating complex architectures into business value for technical and executive audiences.
- Bachelor’s or master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
- Preferred qualifications include Databricks certifications, experience with Snowflake, AWS native services, or Azure Synapse, and experience in a data/AI company or cloud provider.
Benefits
- Databricks offers comprehensive benefits and perks, with region-specific details available for employees in London, UK.
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.