Manager, Delivery Solutions Architects - Emerging Enterprise

Stack

Responsibilities

• ▹Hire, coach, and grow DSAs who guide customers to production success across Data, AI, and ML workloads
• ▹Minimize friction and streamline onboarding to accelerate path to production
• ▹Maintain technical excellence, staying ahead with Databricks and the broader Data and AI ecosystem
• ▹Partner with Sales, Solutions Architects, Support, Product Engineering, and Professional Services
• ▹Establish mechanisms for tracking, forecasting, and communicating workload progress and customer health
• ▹Serve as technical sponsor for select accounts, engaging tech leads and executives

Requirements

• ▹7+ years in customer-facing technical roles (Architecture, Field Engineering), including 3+ years leading technical teams
• ▹Experience with cloud-based Lakehouse architectures, migrations, and modernization
• ▹Deep understanding of distributed data systems and cloud-native platforms
• ▹Hands-on experience in SQL and an OOP language (Python, SQL, or Scala), code reviews, and architecture design
• ▹Expertise in Data and AI domains: Analytics, Data Warehousing, ETL, Streaming, ML/AI productionization
• ▹Experience with hyperscaler platforms (AWS, Azure, or GCP) is a strong plus
• ▹Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
• ▹Willingness to travel up to 30%

Soft skills

What we offer

• ▹Annual performance bonus, equity, and comprehensive benefits package

About the company

Databricks is the data and AI company, headquartered in San Francisco, founded by the original creators of Apache Spark, Delta Lake, and MLflow, trusted by more than 10,000 organizations including over half of the Fortune 500.