
Real job — pulled straight from Nasstar’s careers page · Verified July 25, 2026 · No reposts.
Job description
Nasstar is hiring a Pre-sales Solutions Architect — a full-time, remote role. Apply directly on Nasstar's careers page below.
Pre-sales Solutions Architect (Databricks)
Department: Go-to-Market
Employment Type: Permanent
Location: London, UK, Remote, UK, Remote
Key Responsibilities
- Databricks solution advocacy: articulate the value of the Databricks Data Intelligence Platform — Lakehouse architecture, Delta Lake, Unity Catalog, Photon, Databricks SQL, Workflows, MLflow, Mosaic AI, and Databricks Apps — tailoring presentations and demos to each prospect's business and technical context.
- Technical consultation: act as the trusted Databricks expert during sales engagements, handling deep technical questions, addressing objections, and positioning Databricks against alternatives (Snowflake, Microsoft Fabric, native cloud data warehouses, open-source Spark / Iceberg stacks).
- Discovery and requirements gathering: lead structured discovery with data, analytics, and platform teams to capture current-state architecture, workloads, governance constraints, and target outcomes; translate findings into prioritised solution options.
- High Level Solution design: design Databricks-based reference architectures across AWS, Azure, and GCP, covering ingestion, Lakehouse modelling (Bronze / Silver / Gold), Unity Catalog governance, MLOps with MLflow, GenAI patterns (RAG, fine-tuning, agentic), and cost / performance optimisation.
- Demos and POCs: build and run compelling demos and time-boxed POCs on Databricks that prove value against agreed success criteria.
- RFPs and proposals: own the technical content of RFP / RFI responses, technical proposals, architecture diagrams, and Statements of Work in collaboration with the Commercial and Delivery teams; ensure SOWs are accurate, deliverable, and commercially sound.
- Cross-functional collaboration: act as the connective tissue between Sales, Practice Leads (Data Engineering, ML, GenAI, Platform), and Delivery, ensuring proposed solutions are deliverable, commercially sensible, and aligned to capacity and timelines.
- Partner alignment: work hand-in-glove with Databricks field teams — account executives, specialist SAs, partner managers — on joint pursuits, co-selling motions, and partner programmes.
- Delivery embedment: Periodically, you will be embedded with the delivery team in a billable role on client engagements — typically as a Databricks Solutions Architect during design or mobilisation phases — keeping you close to the platform and ensuring pre-sales commitments land cleanly in delivery.
Skills, Knowledge and Expertise
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or related field.
- Proven experience in technical pre-sales, solutions architecture, or hands-on consulting on the Databricks platform (or a comparable Lakehouse / big data stack).
- Strong working knowledge of the Databricks Data Intelligence Platform: Lakehouse architecture, Delta Lake, Apache Spark, Unity Catalog, Databricks SQL, Workflows, MLflow, Mosaic AI / model serving, and at least one cloud deployment (AWS, Azure, or GCP).
- Confident designing and presenting Lakehouse and data platform architectures, including ingestion patterns, medallion modelling, governance, MLOps, and GenAI workloads (RAG, fine-tuning, agentic patterns).
- Demonstrable track record running discovery, demos, POCs, and RFP responses for complex data / AI deals, and communicating with audiences ranging from engineers to C-level executives.
- Strong commercial awareness — comfortable shaping SOWs, T-shirt-size estimates, and linking technical choices to business value, TCO, and time-to-value.
- Exceptional communication, presentation, and negotiation skills.
- Databricks certifications (e.g. Data Engineer Associate / Professional, Machine Learning Associate / Professional, Databricks Certified Solutions Architect) and complementary AWS / Azure / GCP certifications are highly desirable.
- Willingness to travel within the UK (and occasionally further) as required to meet business needs.
Benefits
- Remote Working: Flexible options to support your best work.
- Be at the forefront of technological innovation, working with a talented team passionate about making a difference.
- Opportunity to Work on Cutting-Edge Projects: Engage with innovative technologies and make a significant impact in the field.
- A Collaborative, Inclusive, and Dynamic Work Environment: Be part of a culture that values diversity, collaboration, and continuous improvement.
- Top tech including a New MacBook Pro.
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Frequently asked questions
Is Pre-sales Solutions Architect at Nasstar a remote job?
Yes, Pre-sales Solutions Architect at Nasstar is a remote position. Candidates in London, UK may be preferred.
What skills are required for Pre-sales Solutions Architect at Nasstar?
The required skills for Pre-sales Solutions Architect at Nasstar include: Databricks, Data Engineering, Machine Learning, Generative AI, AWS, Azure, GCP, MLflow, Spark, RAG, Snowflake, Python, SQL, AWS Certified Solutions Architect.
What is the seniority level for Pre-sales Solutions Architect at Nasstar?
Pre-sales Solutions Architect at Nasstar is a Senior level position.
How do I apply for Pre-sales Solutions Architect at Nasstar?
You can view the full description and apply for Pre-sales Solutions Architect at Nasstar on EchoJobs: https://echojobs.io/job/nasstar-pre-sales-solutions-architect-databricks-go-to-market-owsgs.