# Senior Solutions Architect

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** London, United Kingdom
**Role:** Solutions Architecture
**Experience:** 5+ years
**Skills:** Python, SQL, Spark, AWS, Microsoft Azure, GCP, Big Data Analytics, Generative AI, Machine Learning, Deep Learning, RAG, MLOps, LLMs, Databricks, Dataiku
**Posted:** 2026-08-11

> The Senior Solutions Architect will design and demonstrate end-to-end data and AI solutions, guide enterprise customers through technical pre-sales engagements, and deliver complex proofs of concept. The role requires strong data science, generative AI, programming, cloud, and customer-facing expertise, plus coaching experience.

## Job Description

## Responsibilities
- Develop customer engagement strategies with Account Executives for the designated territory.
- Coach junior Solutions Architects and teams on use-case prioritization and building technical champions.
- Influence stakeholders through complex engagements involving the broader cloud ecosystem and third-party applications.
- Act as an expert solutions architect and trusted advisor for data analytics architecture, design, and adoption of the Databricks Lakehouse Platform.
- Develop customer-facing collateral and lead workshops, seminars, and meetups.
- Pursue development in technical specialization, industry vertical thought leadership, strategic customer vision, or people management.

## Requirements
### Technical Qualifications
- 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.
- Ability to architect end-to-end Data and AI solutions, including generative AI concepts such as fine-tuning, retrieval-augmented generation (RAG), and MLOps for LLMs.
- Experience with open-source or ISV tools such as Dataiku, Domino, or DataRobot.
- Strong proficiency in a core programming language such as Python or SQL, with willingness to learn or existing knowledge of Spark.
- Proficiency with big data analytics technologies and public cloud platforms such as AWS, Azure, or Google Cloud.
- Hands-on expertise designing and delivering complex proofs of concept.

### Pre-Sales and Customer-Facing Skills
- Ability to engage customers in a technical sales capacity, challenge assumptions, guide discussions toward clear outcomes, and communicate technical and business value.
- Experience across the full pre-sales lifecycle, including use-case discovery, solution scoping, and complex solution architecture design for technical and executive audiences.
- Customer-centric approach with a passion for building client relationships and internal partnerships with account teams.

### Leadership
- Experience coaching and mentoring junior team members in technical and customer-facing skills.

## Logistics
- Ability to commute regularly to the London office.
- Willingness and ability to travel approximately 20–30% across the UK&I and EMEA for customer visits.

## Nice to Have
- Databricks or other relevant cloud and data certifications.

## Compensation and Benefits
- Comprehensive benefits and perks are offered, with regional details available through Databricks.

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