Solutions Architect
Databricks
Job Overview
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Job Description
Mission
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 Solutions Architect 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 High Tech and Manufacturing space.
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
- 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.
- Production programming experience in Python, R, Scala or Java.
- Nice to have: Databricks Certification.
Key skills/competency
- Pre-sales
- Technical Strategy
- Enterprise Accounts
- Value Selling
- Machine Learning (ML)
- Artificial Intelligence (AI)
- Big Data
- Data Science
- Cloud Computing
- Python
- R
- Scala
- Java
- Databricks Platform
- Customer Transformation
- Technical Leadership
- Account Management
- Solution Architecture
- Virtual Team Leadership
- Executive Engagement
How to Get Hired at Databricks
- Research Databricks' culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for Solutions Architect: Highlight experience in pre-sales, technical strategy, and big data/AI solutions relevant to Databricks.
- Showcase technical depth: Prepare to discuss your proficiency in Python, R, Scala, or Java, and cloud/data science platforms.
- Demonstrate customer impact: Articulate past successes in driving data-driven business transformation and leading technical account relationships.
- Network with Databricks employees: Connect on LinkedIn for insights into the company and role expectations.
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