Databricks

Manager, Delivery Solutions Architects - Emerging Enterprise

Databricks$197K — $270K *
US-Anywhere
+ 9 other locationsRemote
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in customer-facing technical roles, with 3+ years in a leadership position.
  • Experience with cloud-based Lakehouse architectures and guiding migrations.
  • Track record of accelerating workloads to production on cloud-native platforms.
  • Strong knowledge of distributed data systems and cloud-native architectural principles.
  • Hands-on experience in SQL and an object-oriented programming language (Python, SQL, or Scala).
  • Expertise in Data and AI domains like Analytics, ETL, and ML/AI production.
  • Familiarity with hyperscaler platforms (AWS, Azure, GCP) is preferred.
  • Strong communication skills and ability to engage with C-level stakeholders.

Responsibilities

  • Build and lead a team of Delivery Solutions Architects (DSAs).
  • Accelerate customer path to production by minimizing friction and streamlining onboarding.
  • Ensure team maintains technical excellence in Data and AI architecture.
  • Collaborate with cross-functional teams for integrated customer plans.
  • Establish mechanisms for tracking workload progress and customer health.
  • Serve as technical sponsor for key customer accounts.
  • Drive initiatives to enhance scalability and innovation within the DSA practice.

Benefits

  • Comprehensive benefits and perks tailored to employee needs.
  • Opportunities for ongoing learning and achieving certifications.
Full Job Description
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.
The Impact You Will Have
  • 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.
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.


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

BenefitsAt 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.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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