Solutions Architect
Databricks
Job Overview
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Job Description
Solutions Architect at Databricks
We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the 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.
Your work with customers will include partnering with hands-on resources. You will build proofs-of-concept and demonstrate Databricks' products, and you need to be technical and understand the relevance and application of ML & AI across a range of use cases important to the target accounts in various verticals. You will be a technical partner to our customers, working alongside hands-on resources to build proofs of concept and showcase Databricks products. A deep understanding of ML & AI's relevance and application across a variety of crucial use cases for target accounts in different verticals is essential for this role.
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 accounts with a clear understanding of this strategy and its business value.
- 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 your peers' respect through your experience, insight, and contributions.
Competencies
- Experience in establishing virtual teams and leading them to ultimate success within the account.
- Experience working with very large (> $1m ARR), global accounts.
- Experience building relationships with executives and influencers, both internally and with customers.
- Present a convincing point of view to important decision-makers that leads them down a path of success.
- Technical experience in data engineering, cloud data warehousing, and/or data science.
- An ability in data-driven business transformation and driving change with data.
- Production programming expertise in Python, R, Scala, or Java.
- Experience practicing live/vibe coding sessions with stakeholders.
- Nice to have: Databricks Certification.
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Key skills/competency
- Pre-sales Strategy
- ML & AI Adoption
- Data Engineering
- Cloud Data Warehousing
- Data Science
- Python/R/Scala/Java
- Value Selling
- Technical Leadership
- Executive Relationship Building
- Virtual Team Leadership
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: Highlight pre-sales, ML/AI, large enterprise experience, and value selling expertise.
- Showcase technical depth: Emphasize production programming in Python, R, Scala, or Java and cloud data platforms.
- Prepare for value selling scenarios: Articulate the business impact of Databricks solutions clearly and convincingly.
- Practice executive communication: Demonstrate your ability to build relationships and influence high-level decision-makers.
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