Назад
2 дня назад

Senior Solutions Architect (Retail/CPG)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Solutions Architect (Retail/CPG): Designing and delivering end-to-end Data & AI solutions on the Databricks Lakehouse platform with an accent on Generative AI, RAG, and MLOps for large-scale enterprise customers. Focus on driving technical strategy, leading complex proofs-of-concept, and coaching junior team members to achieve business objectives.

Location: Must be based in London, UK, with ability to commute to the office regularly and travel 20-30% across UK&I and EMEA.

Company

Databricks is a global data and AI company, creators of the Lakehouse architecture, Apache Spark, Delta Lake, and MLflow, serving over 10,000 organizations worldwide.

What you will do

  • Engage with large, complex customers in the UK & Ireland to define technical strategies and drive adoption of the Lakehouse platform.
  • Architect end-to-end Data & AI solutions, including Generative AI concepts like fine-tuning and RAG.
  • Lead the full pre-sales lifecycle, from use case discovery and solution scoping to delivering complex PoCs.
  • Influence stakeholders at all organizational levels, from engineers to executives, by demonstrating technical and business value.
  • Coach and mentor junior Solutions Architects to develop their technical and customer-facing skills.
  • Contribute to the technical community by developing collateral and leading workshops and seminars.

Requirements

  • Must be based in London or able to commute to the London office regularly.
  • Hands-on experience in technical pre-sales or consultancy with a strong background in Data Science, AI, or Generative AI.
  • Demonstrated expertise in architecting end-to-end Data & AI solutions using modern concepts like RAG, fine-tuning, and MLOps.
  • Strong proficiency in Python and SQL, with a willingness to learn or existing knowledge of Spark.
  • Experience with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP).
  • Proven ability to engage in technical sales, challenge assumptions, and communicate value propositions to diverse audiences.

Nice to have

  • Databricks or other relevant Cloud/Data certifications.

Culture & Benefits

  • Commitment to a diverse and inclusive culture with equal employment opportunity standards.
  • Opportunities for professional development across technical, industry, strategic, and management tracks.
  • Collaborative, customer-centric environment valuing innovation and creativity.
  • Comprehensive benefits and perks tailored to the region.

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