Manager, Delivery Solutions Architects – Digital Native Business
Location
California + 3 moreAll locations: California | Colorado | Oregon | Washington
Posted
8 days ago
Salary
$197.1K - $271.0K / year
Seniority
Lead
Job Description
Manager, Delivery Solutions Architects – Digital Native Business
Databricks
• 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.
Job 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 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.
Benefits
- Comprehensive benefits and perks that meet the needs of all employees.
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