Databricks
Technology
DeliverySolutionsArchitect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Delivery Solutions Architect at Databricks. Skills: Data and AI, Solution architecture, Technical account management, Customer success. Engage with Solutions Architects. Lead post-technical win strategy”
What You'll Achieve.
Accelerate adoption and growth; Ensure customer success; Increase focus and technical accountability; Accelerate usage of Databricks workloads; Maximize value from platform; Maximize return on investment; Drive growth in assigned customers; Drive growth in use cases; Build executive relationships; Create and drive plans and strategies; Become post-sale technical lead; Drive onboarding; Drive enablement; Drive go-live; Drive healthy consumption; Increase adoption of Databricks’ Lakehouse vision; Control cloud cost; Tune and optimize; Achieve KPI reporting
Industry & Context.
Solve world's toughest data problems; Resolving complex escalations; Creating certainty from uncertainty
Travel up to 30%
What They're Looking For.
Must Have
5+ years experience, Programming experience Python, SQL, or Scala, Customer-facing role experience, Understanding solution architecture, Understanding business value attribution, Technical program management, Account management accountability, Stakeholder management accountability, Resource management accountability, Resolving complex escalations, Conducting discovery workshops, Creating strategic roadmaps, Managing complex programs, Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
Nice to Have
Experience in Data and AI domain, Experience in pre-sales, technical architecture, customer success, or consulting role, Experience in distributed data systems, Experience in project management, Experience with senior customer executives, Experience with business analysis, Track record of overachievement against quota
What You'll Do.
Engage with Solutions Architects
Lead post-technical win strategy
Be accountable technical leader
Create certainty from uncertainty
Drive healthy consumption
Be first contact for technical issues
Address production status questions
Leverage Shared Services
Leverage User Education
Leverage Onboarding/Technical Services
Leverage Support resources
Escalate to expert-level technical experts
Execute point of view
Accelerate use cases into production
Coordinate with Professional Services
Navigate Databricks Product and Engineering
Develop execution plan
Drive enablement/user growth
Drive product adoption
Increase adoption of Lakehouse vision
Address organic needs
Provide executive updates
Provide operational updates
Report on usage status
Report on customer health
Report on investment status
Report on product adoption
Report on use case progression
How You'll Work.
Team & Collaboration
Sales teams; Field engineering teams; Multiple selling teams; Internal stakeholders; Databricks Product and Engineering teams; Professional Services resources; Shared Services; User Education; Onboarding/Technical Services; Support resources; Expert-level technical experts; Customer-facing technical roles; Customer-facing technical teams
Communication Scope
Engage and communicate effectively
Process & Methodology
Technical program management, Project management, Account management, Stakeholder management, Resource management, Roadmap planning, Program delivery, Project delivery
Full Job Description
CSQ427R106 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with the expectation that you will become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate effectively with an organization at all levels. You will report directly 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 prioritized 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 customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the
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