Manager, Delivery Solutions Architects - Emerging Enterprise

As a Delivery Solutions Architect (DSA) Manager supporting our Emerging Enterprise (EE) segment, you will 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.

Your team will focus on accelerating use case onboarding, enabling production workloads, and driving success in production, ensuring every customer achieves measurable outcomes and business value. You will set strategy, coach technical excellence, and ensure your team remains at the forefront of modern Data and AI architecture.

You will report to the Director of Delivery Solutions Architecture for the Emerging Enterprise Unit.

What We Look For

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range $197,100—$270,975 USD

• 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.
• 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.

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.