Senior Solutions Architect (Retail/CPG)

At Databricks, our core values guide us to create a unified platform that makes data science and analytics accessible to everyone. We inspire customers to make informed decisions that push their business forward and foster a culture of creativity, experimentation, and continuous improvement.

As a Solutions Architect in the UK&I Enterprise team, you will play a key role in helping our most complex customers adopt the Databricks Lakehouse Platform. You will work collaboratively with account teams, field engineers, and leadership to design and deliver technical solutions that advance their business objectives.

• Engage with some of Databricks’s largest and most complex customers across the UK & Ireland, defining their technical strategies and supporting them in adopting Databricks to achieve their business objectives.
• Collaborate with Databricks leadership, account teams and field engineers to define and execute customer engagement strategies.
• Demonstrate our Builder Culture to the highest standards, putting our principle of “show, not tell” into practice and inspiring customers and colleagues alike.
• 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.
• Serve as a trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
• Contribute to Databricks’ technical community engagement by developing customer‑facing collateral and leading workshops, seminars, and meet‑ups.
• Opportunity to continue your development in one of four tracks: technical specialisation, industry vertical thought leadership, strategic customer vision, or people management.

We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Solutions Architecture team. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London‑based team.

• Hands‑on experience in technical pre‑sales or consultancy, with a strong background in Data Science – traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI.
• Demonstrated ability to architect end‑to‑end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine‑tuning, RAG, MLOps for LLMs).
• Hands‑on experience and enthusiasm for building with AI‑based development tooling such as Genie Code, Claude Code, Cursor, etc.
• 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: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions.
• Experience in the full pre‑sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences.
• A customer‑centric mindset with a passion for building client relationships and internal partnerships with account teams.

• Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer‑facing skills.

• Ability to commute to the London office regularly.
• Willingness and ability to travel approximately 20‑30% of the time across UK&I and EMEA for customer visits.

• Databricks or other relevant Cloud/Data certifications.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all our employees.

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.