Databricks

Databricks

Posted via Greenhouse

Delivery Solutions Architect - Healthcare & Life Sciences

Posted Aug 11, 2026

Role at a glance

Salary
$180K – $247.5K/yr
Location
United States Remote - US - Colorado
Work arrangement
Hybrid
Employment
Full-time
Experience
5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI
Education
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

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Role Summary

AI-generated

The Delivery Solutions Architect is a hybrid technical and commercial role in Databricks’ Field Engineering organization, serving as the post-sale technical lead for complex customers and use cases. The role drives adoption, production readiness, customer success, and value realization for the Databricks platform while coordinating customer stakeholders and internal teams.

What You'll Do

  • Engage with Solutions Architects to understand use-case demand plans for prioritized customers.
  • Lead technical account strategy and execution plans for Databricks use cases in strategic accounts.
  • Own technical leadership for customer use cases across onboarding, enablement, success, go-live, and healthy consumption.
  • Serve as the first contact for technical issues or questions related to production and go-live status.
  • Coordinate Shared Services, User Education, Onboarding/Technical Services, Support, and expert technical resources.
  • Create and execute plans to accelerate key use cases into production and coordinate with Professional Services resources.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

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; 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; can travel up to 30% when needed

Required

  • 5+ years of experience in technical project or program delivery within Data and AI
  • Programming experience in Python, SQL or Scala
  • Customer-facing pre-sales, technical architecture, customer success, or consulting experience
  • 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 escalations with senior customer executives
  • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing complex...

Original job description

Content provided by the employer

CSQ327R251

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 customer has made the decision to consume Databricks
  • Be the first contact for any technical issues or questions related to 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:
    • Main use cases moving from ‘win’ to production
    • Enablement / user growth plan
    • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
    • Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
    • Executive and operational governance
  • 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

What we look for:

  • 5+ 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 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
  • Can travel up to 30% when needed

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base 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 anticipated 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. For more information regarding which range your location is in visit our page here.

 

Zone 1 Pay Range
$180,000$247,500 USD
Zone 2 Pay Range
$180,000$247,500 USD
Zone 3 Pay Range
$180,000$247,500 USD
Zone 4 Pay Range
$180,000$247,500 USD

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.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. 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.

Compliance

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.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Databricks

About the company

Databricks

Large Enterprise

Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.