Manager, Delivery Solutions Architects - Digital Native Business

The Impact You Will Have

• 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 workloads.
• Accelerate Path to Production: Inspire your team to minimize friction, remove blockers, streamline onboarding, and enable customers to get high-impact workloads 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 leads 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.

What We Look For

• 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 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.