Overview

Databricks is hiring a Delivery Solutions Architect (DSA). As a Delivery Solutions Architect, you will collaborate with sales and field engineering to accelerate adoption and growth of the Databricks platform for your customers. You will help ensure customer success by increasing focus and technical accountability for our most complex customers, guiding them to accelerate usage on Databricks workloads they have selected, and maximizing value and return on investment.

This is a hybrid technical and commercial role. You will drive growth in your assigned customers and use cases by engaging stakeholders, building executive relationships, orchestrating cross‑functional teams, and creating and driving plans and strategies for Databricks colleagues. You will also act as the post‑sale technical lead across all Databricks products, using your technical credibility to engage and communicate at all levels. You will report to a DSA Manager within the Field Engineering organization.

The Impact You Will Have

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post‑technical‑win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customers across multiple selling teams and internal stakeholders, guiding onboarding, enablement, success, go‑live and healthy consumption of the workloads where the customer has decided to consume Databricks
• Be the first contact for technical issues or questions related to production/go‑live status of agreed‑upon use cases within an account
• Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources, escalating to expert‑level technical colleagues to handle tasks beyond your scope
• Create, own and execute a point‑of‑view on how key use cases can be accelerated into production, coordinating with Professional Services on delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer‑facing technical roles and teams to cover the following work streams:
  • Main use cases moving from “win” to production
  • Enablement / user growth plan
  • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
  • Organic needs for current investment (e.g., cloud cost control, tuning & optimization)
  • Executive and operational governance
• Provide internal and external updates – KPI reporting on usage and customer health, including investment status, important risks, product adoption and use case progression to the Technical GM

What We Look For

• Extensive experience delivering technical projects/programs in Data and AI, with the ability to contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer‑facing pre‑sales, technical architecture, customer success, or consulting role
• Understanding of solution‑architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to project deliverables
• Technical program or project management including account, stakeholder and resource management accountability
• Experience resolving complex escalations with senior customer executives
• Experience conducting open‑ended discovery workshops, creating strategic roadmaps, business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
• Willingness to travel up to 30%

About Databricks

Databricks is the data and AI company. More than 10,000 organizations rely on the Databricks Data Intelligence Platform to unify 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.

Benefits

Databricks provides comprehensive benefits and perks. For specific details on benefits in your region, please visit the benefits site.

Our Commitment to Diversity and Inclusion

Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices are inclusive and meet equal employment opportunity standards. Applicants 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 the Employer's discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Engineering and Information Technology

Industries

• Software Development

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