FEQ127R250

Location: Remote or Major Metro Area (Up to 30% Travel) Reports to: Sr. Director / Tech GM of Field Engineering

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.

• 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.
• 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.
• 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.
• 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.
• 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.
• Issue Resolution: Work cross-functionally to remove technical blockers and address challenges, ensuring smooth project delivery and long-term customer satisfaction.

• Leadership Experience: 7+ years of experience in customer-facing technical roles, including 3+ years of leadership experience managing other managers. Proven ability to lead and empower large technical organizations.
• Technical Domain Expertise: Deep experience in cloud technologies, specifically Data Engineering, Data Warehousing, and AI/Machine Learning.
• Retail Industry Knowledge: Conversant with the business challenges retailers face today, such as inventory management, demand forecasting, and omni-channel customer journeys.
• 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.
• 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).
• Collaborative Spirit: A track record of building strong partnerships with Sales, Engineering, and Marketing to deliver tangible customer results.
• 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.BenefitsAt 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.