# Manager, Delivery Solutions Architects

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $197k – $271k/yr
**Experience:** 7+ years
**Skills:** Python, SQL, Scala, AWS, Azure, GCP, Lakehouse Architecture, Data Warehousing, ETL, Streaming, Machine Learning, Spark, Delta Lake
**Posted:** 2026-06-08

> 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.

## Job Description

## 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

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