Databricks
Data and AI
DeliverySolutionsArchitect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Delivery Solutions Architect at Databricks. Skills: Data Intelligence Platform, Solutions Architecture, Customer Engagement. Engage with Solutions Architects. Lead technical account strategy”
What You'll Achieve.
Accelerate adoption and growth; Increase focus and technical accountability; Maximize value from platform; Maximize return on investment; Drive growth in customers; Accelerate use cases into production; Increase adoption of Databricks; Control cloud costs; Tune and optimize workloads; Provide KPI reporting
Industry & Context.
Resolving complex escalations; Creating certainty from uncertainty
Travel up to 30%
What They're Looking For.
Must Have
5+ years technical project delivery, Programming experience Python, SQL or Scala, Customer-facing role experience, Understanding distributed data systems, Accountability for project management, Experience resolving escalations, Experience conducting discovery workshops, Bachelor's degree or equivalent experience
Nice to Have
Experience with Databricks platform
What You'll Do.
Engage with Solutions Architects
Lead technical account strategy
Execute technical account plans
Be accountable technical leader
Drive onboarding and enablement
Drive healthy consumption
Be first contact for technical issues
Escalate to expert technical experts
Create point-of-view for use cases
Coordinate delivery proposals
Navigate Product and Engineering teams
Develop execution plan
Provide internal updates
Provide external updates
How You'll Work.
Team & Collaboration
Sales teams; Field engineering teams; Customer stakeholders; Databricks colleagues; Multiple selling teams; Internal stakeholders; Shared Services; User Education; Technical Services; Support resources; Expert level technical experts; Professional Services resources; Product teams; Engineering teams; Customer-facing technical roles
Communication Scope
Engage at all levels
Process & Methodology
Account management, Stakeholder management, Resource management, Program management, Project management, Roadmap planning
Full Job Description
REQ ID - CSQ427R11 Location: Vancouver, BC At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the 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 to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the 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, orchestration of 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 expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. 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 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 customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and hea
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