Databricks
Data and AI
DeliverySolutionsArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Delivery Solutions Architect at Databricks. Skills: Delivery Solutions Architecture, Data and AI domain expertise, Customer engagement, Technical leadership, Project/Program 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 adoption and growth of the Databricks platform; Ensure customer success; Increase focus and technical accountability; Accelerate usage on Databricks workloads; Maximise value from the platform; Maximise return on investment; Drive growth in assigned customers and use cases; Create certainty from uncertainty; Drive onboarding, enablement, success, go-live and healthy consumption of workloads; Achieve overachievement against quota, Goals or similar objective targets; KPI reporting on usage and customer health; Reporting on 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 or Spark, 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
Nice to Have
Knowledge of Databricks Data Intelligence Platform, Knowledge of Databricks Lakehouse vision, Knowledge of Apache Spark, Knowledge of Delta Lake, Knowledge of 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
Guide customers to accelerate usage on Databricks workloads
Maximize customer value and return on investment from the Databricks platform
Drive growth in assigned customers and use cases
Lead customers' stakeholders
Build executive relationships
Orchestrate other focused/specialized teams within Databricks
Create and drive plans and strategies for Databricks colleagues
Act as the post-sale technical lead across all Databricks products
Engage and communicate at all levels with an organization
Engage with Solutions Architects to understand use case demand plans
Lead post-technical win technical account strategy and execution plans
Be the accountable technical leader for specific use cases and customers
go-live and healthy consumption of workloads
Be the first contact for technical issues or questions related to production/go-live status
Leverage Shared Services
Onboarding/Technical Services and Support resources
Escalate to expert level technical experts for tasks beyond scope or expertise
own and execute a point-of-view on accelerating key use cases into production
Coordinate with Professional Services (PS) resources 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 covering all customer-facing technical roles and teams
Manage main use cases moving from ‘win’ to production
Develop enablement / user growth plans
Develop product adoption strategies and activities
Address organic needs for current investment (e.g.
tuning & optimization)
Provide executive and operational governance
Provide internal and external updates on usage and customer health
How You'll Work.
Team & Collaboration
Collaborate with sales and field engineering teams; Collaborate with Solutions Architects; Orchestrate other focused/specialized teams within Databricks; Coordinate with Professional Services (PS) resources; Navigate Databricks Product and Engineering teams; Collaborate with 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 management, Account management, Stakeholder management, Resource management, Managing delivery of complex programmes/projects, Creating strategic roadmaps, Developing execution plans
Full Job Description
CSQ427R104 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 workload
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