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Senior Solutions Architect (Enterprise Accounts)
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ICT
💰 Salary Not shared
📊 Market 8,333 GBP–12,500 GBP/mo (99,996 GBP–150,000 GBP/yr)
About the Company
At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.
Responsibilities
- ● Engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world-class, cross-functional team of Solutions Architects, Account Executives, and technology Specialists.
- ● Work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges.
- ● Engage with some of Databricks' most complex customers to help them achieve their unified platform goals.
- ● Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts.
- ● Coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline.
- ● Influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
- ● Be a 'champion' for both customers and colleagues, operating as an expert solution architect and 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.
- ● Have the opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
Requirements
- ● Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
- ● Have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background.
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