Databricks

Data and AI

DeliverySolutionsArchitect

Amsterdam, Netherlands Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Delivery Solutions Architect at Databricks. Skills: Databricks Data Intelligence Platform expertise, Technical leadership, Customer engagement, Solution architecture, Project delivery. 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; Maximize customer value and return on investment; Drive growth in assigned customers and use cases; Onboarding, enablement, success, go-live and healthy consumption of workloads; Track record of overachievement against quota, Goals or similar objective targets; KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression

Industry & Context.

Data and AI
Problems you'll solve

Resolving complex and important escalation with senior customer executives; Creating certainty from uncertainty

Eligibility Requirements

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

Nice to Have

Can travel up to 30% when needed

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

Provide guidance 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 assigned to specific use cases and customer(s)

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

own and execute a point-of-view on how key use cases can be accelerated into production

Coordinate with Professional Services (PS) resources on delivery 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

Manage main use cases moving from ‘win’ to production

Develop enablement / user growth plans

Drive product adoption strategy and activities to increase adoption of Databricks’ Lakehouse vision

Address organic needs for current investment (e.g.

tuning & optimization)

Provide executive and operational governance

Provide internal and external updates - KPI reporting on usage and customer health

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

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

FEQ327R184 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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