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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