Delivery Solutions Architect - Public Sector (Federal)

Databricks Inc.

California

Remote

USD 150,000 - 210,000

Full time

12 days ago

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Job summary

Databricks Inc. is seeking a Delivery Solutions Architect (DSA) to drive post-sale success for strategic customers from a remote US base.

You will lead technical account strategy, coordinate with professional services, and ensure healthy consumption of workloads across Databricks platforms. This hybrid role blends technical leadership with commercial ownership, requiring collaboration with sales, field engineers, and executive stakeholders to accelerate adoption and value realization.

Qualifications

  • 7+ years of experience accountable for technical project delivery within 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 to distributed data systems.
  • Ability to attribute business value and outcomes to project deliverables.
  • Technical program or project management with stakeholder accountability.
  • Experience resolving escalations with senior customer executives.
  • Experience conducting discovery workshops, creating strategic roadmaps, and managing delivery of complex programmes.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent.
  • Willingness to travel up to 30% when needed.

Responsibilities

  • Lead post-technical win account strategy and execution for key use cases.
  • Be the accountable technical leader across multiple selling teams and stakeholders.
  • Coordinate onboarding, enablement, success, go-live, and healthy consumption of workloads.
  • Serve as first contact for production/go-live questions related to use cases.
  • Leverage Shared Services, Onboarding/Technical Services, and Support to build tasks beyond scope.
  • Create and execute a point-of-view to accelerate production of use cases.
  • Navigate Databricks Product and Engineering for new innovations and upgrades.
  • Develop an execution plan covering all activities of customer-facing tech roles and streams.

Skills

Python
SQL
Scala

Education

Bachelor's degree in Computer Science, Information Systems, Engineering

Job description

Due to federal contract requirements and client site access obligations, U.Location: Remote (US-based) with up to 30% Travel.

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 on Databricks workloads that they have already selected, helping them maximize the value they get from 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, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel with being technical, with the expectation that you become the post-sale technical lead across all Databricks products. You will report directly to a DSA Manager within the Field Engineering organization.

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 workloads where the customer has made the decision to consume Databricks.

Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations.

Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise.

Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating 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 that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

  • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
  • Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
  • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers.

  • 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 to 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 in resolving complex and important escalations with senior customer executives
  • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programmes/projects
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
  • Can travel up to 30% when needed

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Local Pay Range

$About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.

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