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Manager, Delivery Solutions Architects – Emerging Enterprise
DatabricksManager of Delivery Solutions Architects at Databricks, leading a team for innovative customer solutions. Focused on cloud-based Data and AI architecture for fast-growing companies.
Posted 7/30/2026full-timeRemote • California, Colorado, Illinois, Massachusetts, New York, Oregon, Pennsylvania, Texas, Washington • 🇺🇸 United StatesSeniorLead💰 $197,100 - $270,975 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data and AI, with a strong focus on cloud-based Lakehouse architectures and the ability to lead technical teams in delivering customer success. Proven ability to accelerate workloads to production while maintaining operational rigor and fostering collaboration across various stakeholders.
Highest-signal resume keywords
Cloud-Based Lakehouse ArchitecturesData and AI ExpertiseSQL and Object-Oriented Programming (Python, Scala)Customer Success ManagementTechnical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonScalaData WarehousingETLStreamingML/AI ProductionizationArchitecture DesignCode ReviewsCloud-Native Platforms
Soft Skills
Strong CommunicationExecutive PresenceTrusted Advisor
Tools & Technologies
DatabricksAWSAzureGCP
Industry Keywords
DataAICustomer SuccessTechnical SponsorshipOperational Rigor
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformPythonScalaSQL
About the role
Key responsibilities & impact- Build and Lead a High-Performing Team: Hire, coach, and grow DSAs capable of guiding EE 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 EE 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.
Requirements
What you’ll need- 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
Comp & perks- Eligibility for annual performance bonus
- Equity
- Comprehensive benefits and perks that meet the needs of all employees