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Pre-sales Solutions Architect, Databricks

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 1,001-5,000H1B No SponsorCompany SiteLinkedIn

Location

United Kingdom

Posted

8 days ago

Salary

0

Seniority

Senior

Job Description

Pre-sales Solutions Architect, Databricks

Nasstar

• 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.

Job Requirements

  • 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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