Senior Solutions Architect (Utilities)

About this role

Responsibilities

• 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.
• You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline.
• You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd-party applications, ensuring they are excited about 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.
• Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management.
• Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
• You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background

Requirements

• You will be working with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice.
• You will have a builder mindset, you instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. You turn customer challenges into hands-on proof points that accelerate confidence.
• You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments.
• Ability to influence influential decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers.
• Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark.
• Hands-on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google.
• Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape.
• Nice to have: Databricks Certification
• Up to 30-40% travel to London offices and customer sites

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.