Solutions Architect - Healthcare/Life Sciences Team (HLS)
Databricks
- Location
- United States of America
- Posted
Lead technical strategy for large enterprise accounts in Healthcare & Life Sciences with Databricks
Remote Jobs
Solutions Architect - Healthcare/Life Sciences Team
Databricks
- Location
- United States of America
- Posted
- Salary Range
- 140k - 247k USD
Lead technical strategy for large enterprise accounts in Healthcare & Life Sciences using Databricks solutions
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Solutions Architect - Healthcare/Life Sciences Team (HLS)
Databricks
Job Location
Job Summary
We are seeking experienced pre-sales professionals to lead technical strategy for large enterprise accounts in the Healthcare & Life Sciences industry. With a strong background in value selling, technical account management, and technical leadership, you will work with clients to evaluate and adopt Databricks' products as part of their strategy. You will build relationships with executives and influencers, present convincing points-of-view, and drive change with data. As a key member of our team, you will gain the respect of your peers based on your experience, insight, and contributions. With flexible remote work options and $4,000/year travel stipends, we offer a competitive package for the right candidate. Our goal is to empower data teams to collaborate and innovate faster through Databricks' unified platform.
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the US.
We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Healthcare & Life Sciences (HLS) industry.
Outcomes
You work with multiple clients as the main technical voice for Databricks.
You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
You implement the technical strategy in the account, in close understanding of the strategy.
You build a movement of technical champions within the account.
You align technical strategies around Databricks solutions.
You provide structured mentorship for other team members.
Gain the respect of your peers based on your experience, insight, and contributions.
Competencies
5+ years in a customer-facing pre-sales, technical architecture, or consulting role
Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
Experience working very large (> $1m ARR), global accounts.
Form relationships with executives and influencers.
Present a convincing point-of-view to important decision-makers that leads them down a path of success.
Technical in big data, data science and cloud.
An ability in data-driven business transformation, and driving change with data.
About Databricks
Databricks is the data and AI company. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks simplifies data and AI so data teams can collaborate and innovate faster. More than five thousand organizations worldwide —including Shell, Conde Nast and Regeneron — rely on Databricks as a unified platform for massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. Venture-backed and headquartered in San Francisco (with offices around the globe) Databricks is on a mission to help data teams solve the world's toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
