Delivery Solutions Architect

About the role

As a Delivery Solutions Architect (DSA) at Databricks, you will play a crucial role in accelerating the adoption and growth of the Databricks platform among your customers. Your responsibilities include collaborating with sales and field engineering teams to drive customer success, ensuring that complex customers maximize the value of the Databricks platform, and driving technical projects and programs.

Responsibilities

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

Requirements

• 5+ years of experience where you have been accountable for technical project or program delivery within the domain of Data and AI
• Experience contributing to technical debate and design choices with customers
• Programming experience in Python, SQL, or Scala
• 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 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

Qualifications

• Pay Range: $180,000—$247,500 USD

Benefits

At Databricks, we offer comprehensive benefits and perks to support our employees. Details on specific benefits can be found on our benefits page.

About Databricks

Databricks is the data and AI company. With over 10,000 organizations worldwide relying on our platform, including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500, Databricks empowers organizations to unify and democratize data, analytics, and AI. Headquartered in San Francisco, Databricks has offices globally and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow. Learn more about us on our social media platforms.

Our Commitment to Diversity and Inclusion

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

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within the employer's discretion whether to apply for a U.S. government license for such positions, and the employer may decline to proceed with an applicant on this basis alone.