Databricks

Technology

DeliverySolutionsArchitect-Communications,Media,Entertainment&Games

$185–275k ~AI est. California, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Delivery Solutions Architect - Communications, Media, Entertainment & Games at Databricks. Skills: Data and AI, Customer success, Technical leadership. Empower customers to solve data problems. Accelerate adoption and growth of Databricks platform”

What You'll Achieve.

Accelerate adoption and growth; Increase customer value; Drive growth in assigned customers; Ensure customer success; Drive onboarding, enablement, success, go-live; Drive healthy consumption of workloads; Accelerate key use cases into production; Increase adoption of Databricks’ Lakehouse vision

Industry & Context.

Technology
Problems you'll solve

Solve tough data problems; Resolve complex escalations; Create certainty from uncertainty

Eligibility Requirements

Travel up to 30%

What They're Looking For.

Must Have

5+ years experience technical project/program delivery, Programming experience in Python, SQL, or Scala, Customer-facing pre-sales, technical architecture, customer success, or consulting role, Understanding of solution architecture related to distributed data systems, Understanding of how to attribute business value and outcomes, Technical program, or project management, Account, stakeholder, and resource management accountability, Experience resolving complex escalations with senior customer executives, Conducting open-ended discovery workshops, Creating strategic roadmaps, Conducting business analysis, Managing the delivery of complex programs/projects, Track record of overachievement against quota, goals, or similar objective targets, Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience

Nice to Have

Travel up to 30% when needed

What You'll Do.

Empower customers to solve data problems

Accelerate adoption and growth of Databricks platform

Increase focus and technical accountability for complex customers

Guide customers to accelerate usage of Databricks workloads

Maximize customer value from Databricks platform

Drive growth in assigned customers and use cases

Lead customer stakeholders

Build executive relationships

Orchestrate specialized teams within Databricks

Create and drive plans and strategies

Become post-sale technical lead across Databricks products

Engage and communicate effectively with organizations

Engage with Solutions Architects

Understand full use case demand plan

Lead post-technical win technical account strategy

Execute plan for Databricks use cases

Be accountable technical leader for specific use cases

Create certainty from uncertainty

Drive healthy consumption of workloads

Be first contact for technical issues

Address production/go-live status

Leverage Shared Services

Onboarding/Technical Services

Escalate to expert-level technical experts

Build right tasks beyond scope

and execute point of view

Accelerate key use cases into production

Coordinate with Professional Services resources

Navigate Databricks Product and Engineering teams

Develop execution plan for customer-facing technical roles

Manage main use cases moving from 'win' to

Develop enablement/user growth plan

Drive product adoption strategy and activities

Address organic needs for current investment

Manage executive and operational governance

Provide internal and external updates

Report on usage and customer health

Report on investment status

Report on important risks

Report on product adoption and use case progression

How You'll Work.

Team & Collaboration

Sales and field engineering teams; Customer stakeholders; Executive relationships; Focused/specialized teams; Customer-facing technical roles; Multiple selling teams; Internal stakeholders; Professional Services resources; Databricks Product and Engineering teams; Customer-facing technical teams

Communication Scope

Technical communication; Executive updates

Process & Methodology

Technical project management, Program management, Account management, Stakeholder management, Resource management, Roadmap planning, Complex program delivery, Complex project delivery

Full Job Description

CSQ427R21 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 w

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