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Jobs/Databricks/Delivery Solutions Architect - U.S. Federal Sector
Databricks

Delivery Solutions Architect - U.S. Federal Sector

Hybrid · Remote - New YorkDataposted 13d agoSenior

Databricks seeks a Delivery Solutions Architect for the U.S. Federal Sector to drive adoption and growth of the Databricks Data Intelligence Platform in complex customer accounts. This hybrid technical and commercial role requires U.S. citizenship, 7+ years of experience in Data and AI, and expertise in Python, SQL, or Scala.

Annual salary$180,000 – $247,500+ equity · health · 401k match

Responsibilities

  • Engage with Solutions Architects to understand full use case demand plan for prioritized customers
  • Lead post-technical win technical account strategy and execution plan for Databricks use cases
  • Be accountable technical leader for specific use cases, driving onboarding, enablement, success, go-live and healthy consumption
  • Create, own, and execute point-of-view to accelerate key use cases into production, coordinating with Professional Services
  • Provide internal and external updates with KPI reporting on usage and customer health

About the role

S. S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply. 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 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 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 to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. g. S.

citizenship 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 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 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. For more information regarding which range your location is in visit our page here .

Local Pay Range $180,000 — $247,500 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .

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. S.

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

About Databricks

Visit databricks.com for more.