Senior Specialist Solutions Engineer (Infrastructure & Platform)

About the role

Databricks is looking for a Senior Specialist Solutions Engineer (Infrastructure & Platform) based in London. As a trusted technical advisor, you will help enterprise customers with the architecture, administration and security of their Databricks deployments on AWS, Azure or GCP. You combine strong technical expertise with the ability to link architecture decisions to customer outcomes.

Key responsibilities

• Guide enterprise customers through the full lifecycle of Databricks, from architectural design to production deployment
• Architect secure, scalable deployments covering cloud networking, identity and security compliance
• Act as a specialist in cloud infrastructure, infrastructure-as-code, cloud networking and identity management
• Support technical wins in competitive scenarios by showing Databricks' differentiation through custom solutions
• Work with DSAs, SAs, FDEs and partners on complex customer needs, with growing autonomy and guidance from senior architects
• Influence product direction with structured feedback on customer requirements and competitive gaps

Required profile

• 4+ years in solutions architecture, technical pre-sales or a hands-on network architecture role
• Bachelor's or Master's degree in Computer Science, Engineering or a quantitative discipline (or equivalent experience)
• Track record of driving platform adoption and consumption growth within accounts
• Willingness to travel up to 30%

Required skills

• Security and identity: cloud IAM (AWS IAM, Microsoft Entra ID, Google Cloud IAM), federation (SCIM, OAuth, SAML, OIDC)
• Networking: VPC/VNet design, private connectivity (Direct Connect, ExpressRoute, Interconnect, PrivateLink, Private Service Connect)
• Platform administration: high availability, disaster recovery, cluster orchestration, observability, cost management
• IaC automation (Terraform, CloudFormation, ARM/Bicep, Deployment Manager)
• Python and PySpark/Spark, with live coding and debugging
• Distributed data systems: pipelines, streaming, lakehouse patterns
• Proficiency on the Databricks platform, with a specialisation in one area

Nice to have: Databricks certifications, professional-level cloud provider certifications, experience with Snowflake, Azure Synapse or BigQuery, and a background in a data/AI company or cloud provider.