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DatabricksDatabricksUnited States

Manager, Delivery Solutions Architects

Lead and coach a team of Delivery Solutions Architects helping Digital Native Business customers accelerate Data, AI, and ML workloads to production on the Databricks platform. Requires 7+ years customer-facing technical experience including 3+ years leading teams.

197k – 271k
Remote7+ YOESolutions Architecture

About the role

Responsibilities

  • Build and lead a high-performing team of Delivery Solutions Architects (DSAs) supporting Digital Native Business customers
  • Hire, coach, and grow DSAs guiding customers to production success across Data, AI, and ML workloads
  • Accelerate path to production by minimizing friction, removing blockers, and streamlining onboarding
  • Maintain technical excellence with advanced knowledge of Databricks and the broader Data and AI ecosystem
  • Partner with Sales, Solutions Architects, Support, Product Engineering, and Professional Services to build integrated customer plans
  • Establish mechanisms for tracking, forecasting, and communicating workload progress, usage growth, and customer health
  • Serve as technical sponsor for select accounts, engaging tech leads and executives
  • Drive initiatives enhancing consistency, scalability, and innovation across the DSA organization

Requirements

  • 7+ years of experience in customer-facing technical roles (Architecture, Field Engineering, or similar with focus on Data and AI), including 3+ years leading technical teams
  • Experience with cloud-based Lakehouse architectures, migrations, and modernization
  • Proven track record accelerating workloads to production on cloud-native platforms
  • Deep understanding of distributed data systems and cloud-native platforms
  • Hands-on experience in SQL, an Object-Oriented Programming Language (Python, SQL, or Scala preferred), code reviews, and architecture design sessions
  • Expertise in Data and AI domains: Analytics, Data Warehousing, ETL, Streaming, and/or ML/AI productionization
  • Experience with hyperscaler platforms (AWS, Azure, or GCP) is a strong plus
  • Ability to manage escalations, forecast usage growth, and operationalize customer success programs
  • Strong communication and executive presence; trusted advisor to technical leaders and C-level stakeholders
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
  • Willingness to travel up to 30% as needed

Skills

PythonSQLScalaAWSAzureGCPLakehouse ArchitectureData WarehousingETLStreamingMachine LearningSparkDelta Lake
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