Pre-sales Solutions Architect (Databricks)
New
C
Colibri DigitalCloud Data Architecture
United KingdomFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- AWSGCPMLFlowAzureSparkDatabricksGenerative AI
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
- Proven experience in technical pre-sales, solutions architecture, or hands-on consulting on the Databricks platform or a comparable big data stack.
- Strong working knowledge of Lakehouse architecture, Delta Lake, Apache Spark, Unity Catalog, Databricks SQL, MLflow, and Mosaic AI.
- Proficiency in at least one cloud deployment (AWS, Azure, or GCP).
- Experience designing and presenting data platform architectures including ingestion, medallion modelling, MLOps, and GenAI workloads.
- Demonstrable track record running discovery, demos, POCs, and RFP responses.
- Strong commercial awareness with the ability to shape SOWs and estimate project costs.
- Exceptional communication, presentation, and negotiation skills.
- Willingness to travel within the UK and occasionally further.
- Databricks and cloud platform certifications are highly desirable.
Responsibilities
- Articulate the value of the Databricks Data Intelligence Platform through tailored presentations and demos.
- Act as a trusted technical expert during sales engagements to handle deep technical questions and address objections.
- Lead structured discovery sessions to capture current-state architecture and business requirements.
- Design Databricks-based reference architectures across AWS, Azure, and GCP covering governance, MLOps, and GenAI.
- Build and run compelling time-boxed POCs that prove value against success criteria.
- Own the technical content of RFP/RFI responses, architecture diagrams, and Statements of Work.
- Act as the connective tissue between Sales, Practice Leads, and Delivery to ensure project deliverability.
- Collaborate with Databricks field teams on joint pursuits and co-selling motions.
- Embed periodically with delivery teams to ensure pre-sales commitments are successfully implemented.
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