招聘
Benefits & Perks
•Competitive salary and equity package
•401(k) matching
•Team events and activities
•Professional development budget
•Equity
•Learning
Required Skills
React
Node.js
JavaScript
FEQ127R250
Location: Remote or Major Metro Area (Up to 30% Travel)Reports to: Sr. Director / Tech GM of Field Engineering
The Role
As a Director of Delivery Solution Architects (DSA), you will lead a high-impact team of technical success leaders dedicated to our Retail, Consumer Goods and Travel & Hospitality customers. Your mission is to ensure that complex Data and AI initiatives—from supply chain optimization to personalized customer experiences—move from concept to production as efficiently as possible.
In this role, you will bridge the gap between technical strategy and long-term value. You will lead managers and a growing team of DSAs, serving as a technical executive sponsor for our most strategic retail accounts. You will be responsible for shaping the post-sales execution strategy, driving platform adoption, and helping retailers modernize their data stack using the Databricks Data Intelligence Platform.
The Impact You Will Have
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Leadership & Development: Recruit, coach, and scale a diverse, high-performing team of DSAs and managers. Foster a culture of psychological safety, collaboration, and customer obsession.
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Post-Sales Strategy: Define and monitor the execution strategy for the Retail vertical. Partner closely with Sales, Solutions Architecture, and Professional Services to accelerate time-to-value for customers.
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Technical Excellence: Keep your team at the forefront of the Retail Data+AI landscape, including Data Lakehouse architecture, real-time analytics, and Machine Learning. Ensure the team advises customers on the most durable and scalable architectures.
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Operational Excellence: Drive consistency and efficiency by developing internal playbooks and assets for the DSA practice. Monitor customer health, project progress, and manage a high-quality hiring pipeline.
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Executive Partnership: Act as a trusted advisor to CTOs and CDOs, guiding strategic data decisions and serving as a thought leader in the Retail technology ecosystem.
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Issue Resolution: Work cross-functionally to remove technical blockers and address challenges, ensuring smooth project delivery and long-term customer satisfaction.
What We Look For
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Leadership Experience:7+ years of experience in customer-facing technical roles, including3+ years of leadership experience managing other managers. Proven ability to lead and empower large technical organizations.
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Technical Domain Expertise: Deep experience in cloud technologies, specifically Data Engineering, Data Warehousing, and AI/Machine Learning.
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Retail Industry Knowledge: Conversant with the business challenges retailers face today, such as inventory management, demand forecasting, and omni-channel customer journeys.
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Delivery Success: Proven track record in the deployment of production-grade data products. You are an expert at guiding architecture discussions and creating clear project execution plans.
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Business Acumen: Ability to engage at the executive level and drive growth within complex strategic accounts (e.g., managing accounts with $5M+ in Annual Recurring Revenue).
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Collaborative Spirit: A track record of building strong partnerships with Sales, Engineering, and Marketing to deliver tangible customer results.
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Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
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
4.2
9 reviews
Work Life Balance
3.5
Compensation
4.7
Culture
4.3
Career
4.5
Management
4.0
86%
Recommend to a Friend
Pros
Working on industry-leading data and AI platform
Excellent compensation with high equity upside
Strong engineering culture with Apache Spark creators
Cons
High intensity work environment with demanding deadlines
Work-life balance can suffer during key releases
Growing pains as company scales rapidly
Salary Ranges
25 data points
Mid/L4
Senior/L5
Mid/L4 · Corporate Development Manager
1 reports
$171,004
total / year
Base
$148,699
Stock
-
Bonus
-
$171,004
$171,004
Interview Experience
9 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer Rate
22%
Experience
Positive 22%
Neutral 67%
Negative 11%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview/Coding Round
4
System Design Interview
5
Behavioral Interview
6
Final Round/Hiring Manager Interview
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
News & Buzz
Databricks reports surge in enterprise AI agent use - IT Brief Asia
Source: IT Brief Asia
News
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5w ago
The 2025 IPO market beat the previous three years combined. Here are the 2026 contenders - The Business Journals
Source: The Business Journals
News
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5w ago
Databricks appoints Jeremy Cooper as VP of Marketing in Asia Pacific & Japan to accelerate next phase of - ET Edge Insights
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News
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Databricks secures $1.8 billion in credit - Techzine Global
Source: Techzine Global
News
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