Description
We are seeking a Sr. Solutions Architect to join our Field Engineering team at Databricks. As a Sr. Solutions Architect, you will be an essential part of our mission to make data science and analytics accessible to everyone. You will use your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges.
You will 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. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges.
The impact you will have:
- 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.
- Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
What we look for:
- Experience in engaging in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
- Technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background.
- Experience working with large customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice.
- 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.
- Ability to provide technical solutions for specialized customer needs and navigate a competitive landscape.
Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.