Senior Solutions Architect - Digital Natives
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will drive technical and consumption strategy with Account Executives for Startup and Digital Native customers in the Nordics. You will influence stakeholders, act as an expert architect and trusted advisor, lead complex architecture engagements, contribute to thought leadership and coach junior Solutions Architects. You will report to a Field Engineering Manager in the Emerging Enterprises team.
Requirements
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or senior customer-facing technical role
- Expert-level Python, SQL and ideally Spark/PySpark
- Proven track record of driving consumption growth and platform adoption
- Deep expertise in enterprise data technologies
- Expert-level cloud platform knowledge (Databricks, AWS, Azure, GCP)
- Declared technical specialisation
- Executive presence and strategic thinking
- Bachelor's or Master's degree in Computer Science, Engineering or quantitative discipline (or equivalent experience)
Responsibilities
- Drive technical and consumption strategy with Account Executives for Startup and Digital Native customers in the Nordics
- Influence stakeholders through complex engagements with the cloud ecosystem and 3rd-party applications
- Act as expert architect and trusted advisor on data analytics architecture and Databricks adoption
- Lead complex architecture engagements
- Contribute to thought leadership through content, workshops and community engagement
- Coach junior Solutions Architects on use-case prioritisation and building technical champions