About this role
Databricks needs a technical strategist in London to help customers build out their data and AI operations effectively. The incoming Solutions Architect will guide clients through the entire journey, from early discovery phases all the way to full production deployment and ongoing consumption growth. They will lead high-level technical discussions, design scalable systems, and collaborate closely with cross-functional teams to secure platform adoption.
In practice, day-to-day duties involve driving architecture conversations, building custom solutions during competitive scenarios, and developing a specific domain expertise that the wider team can rely on. Successful candidates typically bring a strong background in data engineering or technical pre-sales, paired with coding proficiency in Python and SQL.
What you will do
- Manage the complete technical lifecycle for assigned accounts, guiding projects from initial discovery to production deployment.
- Design scalable, production-grade architectures that encompass data engineering, machine learning, and real-time analytics.
- Advise customer engineering leads and architects on best practices for platform utilization.
- Coordinate cross-functional resources including partners and domain specialists to deliver comprehensive solutions.
- Gather product feedback from customer requirements and competitive gaps to influence future direction.
- Establish a defined technical specialization to serve as a resource for the broader internal team.
What you need
- Accumulate at least six years of professional experience in solutions architecture, technical pre-sales, or advanced data engineering.
- Demonstrate strong coding proficiency in Python and SQL through live coding and debugging evaluations.
- Possess deep expertise in distributed data systems, streaming architectures, and lakehouse patterns.
- Show familiarity with public cloud deployments on AWS, Azure, or GCP, including infrastructure and security.
- Communicate effectively with both technical stakeholders and executive leadership.
- Hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative discipline.
Nice to have
- Databricks certifications such as Data Engineer or Machine Learning
- Experience with alternative platforms like Snowflake, AWS native services, or Azure Synapse
- Background working at a cloud provider or data and AI company
- Industry domain expertise in sectors like financial services, healthcare, or retail
Skills and tech stack
Questions candidates ask
What does the interview process look like?
The evaluation consists of a recruiter screen, hiring manager screen, design and architecture interview, live coding assessment, a build, demo, and pitch presentation, followed by a reference check.
What domain expertise is required?
Candidates should have deep expertise in distributed data systems architecture, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
Where is the position located?
The role is based in London, United Kingdom.