Manager, Delivery Solutions Architects – Digital Native Business

September 1, 2026

Job Description:

Build and Lead a High-Performing Team: Hire, coach, and grow DSAs capable of guiding DNB customers to production success across a wide range of Data, AI, and ML worklo.
Accelerate Path to Production: Inspire your team to minimize friction, remove blockers, streamline onboarding, and enable customers to get high-impact worklo into production faster.
Maintain Technical Excellence: 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.
Collaborate for Customer Growth: Partner closely with Sales, Solutions Architects, Support, Product Engineering, and Professional Services to build integrated customer plans that accelerate adoption and deliver tangible ROI.
Champion Operational Rigor: Establish mechanisms for tracking, forecasting, and communicating workload progress, usage growth, and customer health.
Be a Thought Leader and Sponsor: Serve as the technical sponsor for select DNB accounts, engaging tech le and executives to shape customer success strategy at scale.
Contribute to the DSA Practice: 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), including 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 worklo 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.

Benefits:

Share Share