Databricks
Data and AI
DeliverySolutionsArchitect-DigitalNativeBusiness
Neural analysis suggests this role is
optimal for Senior candidates.
“Delivery Solutions Architect - Digital Native Business at Databricks. Skills: Delivery Solutions Architecture, Data and AI domain expertise, Customer engagement, Technical leadership, Program and project management. Collaborate with sales and field engineering teams to accelerate adoption and growth of the Databricks platform.. Ensure customer success by increasing focus and technical accountability for complex customers.”
What You'll Achieve.
Accelerate the adoption and growth of the Databricks platform.; Increase focus and technical accountability to our most complex customers.; Accelerate usage on Databricks workloads.; Maximise the value they get of our platform and the return on investment.; Drive growth in your assigned customers and use cases.; Ensure customer success by increasing focus and technical accountability.; Drive onboarding, enablement, success, go-live and healthy consumption of the workloads.; KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression.
Industry & Context.
Solve the world's toughest data problems; Resolving complex and important escalation with senior customer executives; Creating certainty from uncertainty
Can travel up to 30% when needed
What They're Looking For.
Must Have
5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI, 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 specific project deliverables, Technical program, or project management including account, stakeholder and resource management accountability, Experience resolving complex and important escalation with senior customer executives, Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects, Track record of overachievement against quota, Goals or similar objective targets, Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
Nice to Have
Databricks Data Intelligence Platform, Databricks Lakehouse vision, Apache Spark™, Delta Lake, MLflow
What You'll Do.
Collaborate with sales and field engineering teams to accelerate adoption and growth of the Databricks platform.
Ensure customer success by increasing focus and technical accountability for complex customers.
Accelerate usage on Databricks workloads and maximize value and ROI.
Drive growth in assigned customers and use cases.
Lead customers' stakeholders and build executive relationships.
Orchestrate other focused/specialized teams within Databricks.
Create and drive plans and strategies for Databricks colleagues.
Become the post-sale technical lead across all Databricks products.
Engage and communicate at all levels with an organization using technical credibility.
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 Databricks use cases within strategic accounts.
Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders.
go-live and healthy consumption of workloads.
Be the first contact for technical issues or questions related to production/go-live status of agreed upon use cases.
Leverage Shared Services
Onboarding/Technical Services and Support resources.
Escalate to expert level technical experts for tasks beyond scope of activities or expertise.
own and execute a point-of-view on how key use cases can be accelerated into production.
Coordinate with Professional Services (PS) resources on the delivery of PS Engagement proposals.
Navigate Databricks Product and Engineering teams for new product innovations
private previews and upgrade needs.
Develop an execution plan covering all activities of customer-facing technical roles and teams.
Provide internal and external updates - KPI reporting on usage and customer health
product adoption and use case progression.
How You'll Work.
Team & Collaboration
Collaborate with sales and field engineering teams.; Orchestrate other focused/specialized teams within Databricks.; Coordinate with Professional Services (PS) resources.; Navigate Databricks Product and Engineering teams.; Develop an execution plan that covers all activities of all customer-facing technical roles and teams.
Communication Scope
Communicate at all levels with an organisation; Provide internal and external updates
Process & Methodology
Technical project / program delivery, Technical program management, Project management, Account management, Stakeholder management, Resource management, Managing delivery of complex programmes/projects, Creating strategic roadmaps, Developing execution plans
Full Job Description
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 healthy consumption of the workloads where the
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