At a Glance
- Tasks: Drive enterprise sales and shape transformative Databricks solutions for clients.
- Company: Fast-growing AI and Data Consulting firm with a focus on innovation.
- Benefits: Competitive salary, commission structure, and benefits package.
- Other info: Opportunity for autonomy and collaboration with senior AI architects.
- Why this job: Make a real impact on business growth and influence market strategies.
- Qualifications: 8-10+ years in enterprise technology sales with a strong Databricks network.
The predicted salary is between 130000 - 130000 £ per year.
Hybrid: 2 days per week in London or Manchester
Package: Up to £130,000 base + commission (c. Double OTE) + benefits
This is a standout opportunity for a Databricks Solutions enterprise seller to own and build a strategic pipeline, influence go-to-market direction, and make a visible impact on business growth within a high-performing, specialist Databricks AI & data consultancy.
The Opportunity:
We’re partnering with a fast-growing AI and Data Consulting firm trusted by enterprise organisations to deliver large-scale Lakehouse-led transformation programmes. The business is looking for a senior sales leader with deep experience selling Databricks-centric data and AI solutions into complex enterprises. This role is not about transactional licences, it’s about shaping multi-year transformation journeys, positioning Databricks at the core, and partnering with clients to unlock real business value from their data.
You’ll operate at board and C-suite level, working closely with consulting and engineering leaders to design and close end-to-end Databricks, analytics, and AI programmes. Financial Services sector focus with enterprise-scale deals at the heart of the role.
What You’ll Be Responsible For:
- Driving net-new enterprise sales centred on Databricks-led data and AI transformation
- Owning full enterprise sales cycles, from early value-led conversations through to contract signature
- Leading C-level discussions around Lakehouse architecture, advanced analytics, AI/ML, and data modernisation
- Translating complex business challenges into Databricks-enabled solutions and roadmaps
- Building and managing a strong pipeline of large, multi-stream transformation opportunities
- Partnering closely with consulting, architecture, and delivery teams to shape compelling Databricks-centric propositions
- Acting as a senior commercial ambassador across clients, Databricks partners, and industry events
What We’re Looking For:
- 8-10+ years’ experience in enterprise technology or consulting sales
- Proven background selling through services-led, consulting, or systems integrator models
- Strong experience selling Data, modern data platforms, analytics, or AI solutions
- A Databricks Network
- Confidence operating in complex enterprise environments with senior and C-suite stakeholders
- A structured, value-based enterprise sales approach, not volume or transactional selling
- Comfortable navigating technically sophisticated conversations while maintaining commercial ownership
- A self-starter mindset, motivated by growth, impact, and building something meaningful
Why This Role
- Own and build a Databricks-focused enterprise pipeline with genuine autonomy
- Influence go-to-market strategy and shape how Databricks-led propositions are taken to market
- Work alongside senior AI architects and Databricks specialists delivering at enterprise scale
- Join a consultancy where sales credibility, technical depth, and delivery quality really matter
- Clear opportunity to make a material impact on revenue, growth, and reputation
Click 'apply' now
Databricks Sales Leader in London employer: Primus Connect
Join a dynamic and innovative company that prioritises collaboration and employee growth, making it an excellent employer for a Data Engineering Manager. With a strong focus on mentorship, you will have the opportunity to lead a growing team while working in a vibrant office environment in central London/Guildford, complete with a free onsite restaurant and gym. This role not only allows you to shape impactful data platforms but also fosters a culture of rapid delivery and teamwork, ensuring your contributions are valued and recognised.
