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Databricks

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Manager, Delivery Solutions Architects - Emerging Enterprise

🗓️ Posted 2026-08-18 Remote - California; Remote - Colorado; Remote - Illinois; Remote - Massachusetts; Remote - New York; Remote - Oregon; Remote - Pennsylvania; Remote - Texas; Remote - Washington Hybrid ICT

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Based on similar roles (title + domain + location).

Responsibilities

● Build, lead, and inspire a team of DSAs who help our most innovative, fast-growing customers accelerate their journey from idea to production on the Databricks Platform.
● Set strategy, coach technical excellence, and ensure your team remains at the forefront of modern Data and AI architecture.
● Hire, coach, and grow DSAs capable of guiding EE customers to production success across a wide range of Data, AI, and ML workloads.
● Inspire your team to minimize friction, remove blockers, streamline onboarding, and enable customers to get high-impact workloads into production faster.
● Ensure you and your team stays ahead of the curve with advanced knowledge of Databricks and the broader Data and AI ecosystem, continuously learning and achieving certifications.
● Partner closely with Sales, Solutions Architects, Support, Product Engineering, and Professional Services to build integrated customer plans that accelerate adoption and deliver tangible ROI.
● Establish mechanisms for tracking, forecasting, and communicating workload progress, usage growth, and customer health.
● Serve as the technical sponsor for select EE accounts, engaging tech leads and executives to shape customer success strategy at scale.
● Drive initiatives that enhance consistency, scalability, and innovation across the DSA organization.

Requirements

● 7+ years of experience in customer-facing technical roles (Architecture, Field Engineering, or similar roles with a focus on Data and AI).
● 3+ years leading technical teams.
● Experienced in cloud-based Lakehouse architectures, specifically in guiding customers through migrations and modernization, leveraging cloud-native architectural principles.
● Proven track record in accelerating workloads to production and enabling sustained success on cloud-native platforms.
● Deep understanding of and ability to guide complex architectural discussions related to distributed data systems and cloud-native platforms.
● Hands-on experience in SQL, an Object-Oriented Programming Language (preference for Python, SQL, or Scala), code reviews, and architecture design sessions.
● Expertise in Data and AI domains, such as 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 a related field (or equivalent experience).
● Willingness to travel up to 30% as needed.