
The Data and AI Company.
Solutions Architect
Required skills
Python
Java
Scala
REQ ID - FEQ327R75
Location: Seattle, WA
Mission
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
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You work with multiple clients as the main technical voice for Databricks.
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You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
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You implement the technical strategy in the accounts with a clear understanding of this strategy and its business value.
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You build a movement of technical champions within the account.
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You align technical strategies around Databricks solutions.
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You provide structured mentorship for other team members.
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Gain your peers' respect through your experience, insight, and contributions.
Competencies:
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Experience in establishing virtual teams and leading them to ultimate success within the account.
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Experience working with very large (> $1m ARR), global accounts.
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Experience building relationships with executives and influencers, both internally and with customers.
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Present a convincing point of view to important decision-makers that leads them down a path of success.
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Technical experience in data engineering, cloud data warehousing, and/or data science
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An ability in data-driven business transformation and driving change with data.
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Production programming expertise in Python, R, Scala, or Java
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Experience practicing live/vibe coding sessions with stakeholders
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Nice to have: Databricks Certification
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 2 Pay Range**$180,000—$247,500 USD**
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.
Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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About Databricks

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
Employees
San Francisco
Headquarters
$43B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
2.5
Compensation
4.0
Culture
4.2
Career
3.5
Management
4.0
72%
Recommend to a friend
Pros
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good compensation and benefits
Cons
Long hours and heavy workload
Poor work-life balance
High pressure and stress
Salary Ranges
34 data points
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1 reports
$171,004
total per year
Base
$148,699
Stock
-
Bonus
-
$171,004
$171,004
Interview experience
5 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 80%
Negative 20%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Hiring Manager Interview
6
Onsite/Virtual Interviews
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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