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Databricks

Senior Solutions Architect (Large Retail Account)

RemoteUnited Kingdom, Ireland only
Published
Role
Product
Experience
Senior
Employment
Full-time
Company size
Enterprise
Salary not disclosed
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Open to GB, IE only. Set where you work from to check your eligibility.

No BS summary

Senior customer-facing Solutions Architect for large UK&I retail/CPG accounts. Needs strong hands-on Data & AI pre-sales experience (Python/SQL, Spark willingness), cloud (AWS/Azure/GCP), and Generative AI / MLOps experience. Must be able to work Remote — United Kingdom and commute to London office with ~20–30% travel.

Core skills

Generative AIMLOpsDatabricks Lakehouse

Required skills

Data ScienceMachine LearningDeep LearningArtificial IntelligencePythonSQLSparkAWSAzureGCPProofs-of-concept (PoC) design and delivery

Optional skills

Databricks certificationCloud/Data certificationsExperience with ISV tools such as DataikuExperience with DominoExperience with DataRobotExperience with AI development tooling such as Genie Code, Claude Code, Cursor

Required languages

English

What you'll do

  • Engage with Databricks’s largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks.
  • Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies.
  • Demonstrate Databricks Builder Culture and use AI tooling to show solutions; build customised solutions to inspire customers.
  • Coach junior Solutions Architects and teams on use case prioritisation and building technical champions.
  • Influence stakeholders at all organisational levels through complex engagements with the broader cloud ecosystem and third-party applications.
  • Operate as an expert solution architect and trusted advisor for data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
  • Contribute to technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
  • Define and execute customer engagement strategies in collaboration with account teams and field engineers.

What they require

  • Hands-on experience in technical pre-sales or consultancy with strong background in Data Science (traditional ML, Deep Learning, AI or Generative AI).
  • Demonstrated ability to architect end-to-end Data & AI solutions, including Generative AI concepts (fine-tuning, RAG, MLOps for LLMs) using open source and/or ISV tools.
  • Hands-on experience and enthusiasm for building with AI-based development tooling such as Genie Code, Claude Code, Cursor.
  • Strong proficiency in a core programming language (e.g., Python, SQL) and willingness to learn or existing knowledge of Spark.
  • Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP).
  • Hands-on expertise in designing and delivering complex proofs-of-concept (PoCs).
  • Proven ability to engage with customers in a technical sales capacity across the full pre-sales lifecycle (use case discovery, solution scoping, solution architecture delivery).
  • Demonstrated experience in coaching and mentoring junior team members.
  • Ability to commute to the London office regularly and willingness to travel approximately 20-30% across UK&I and EMEA.

Benefits

  • Comprehensive benefits and perks for region (details via region-specific link).
  • Diversity and inclusion commitment; equal employment opportunity.

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.

🇺🇸 United StatesData AIEnterprisedatabricks.com/

What people say about this company

3.0/ 5

Salary not disclosed