Delivery Solutions Architect
Location
Germany
Posted
7 days ago
Salary
0
Seniority
Mid Level
Job Description
Delivery Solutions Architect
Databricks
Role Description This role can be based in either Berlin, Munich, or remotely in Germany. At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics, and AI challenges into high-impact business value. You help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. Delivery Solutions Architects (DSAs) focus on: - Designing secure, scalable architecture - Aligning people, processes, and technology - Establishing trusted advisor relationships - Leveraging the broader ecosystem of Databricks experts This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer’s top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organisations, do architecture reviews, help with performance and cost optimisations, demonstrate new capabilities, remove blockers, etc. In parallel, 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/specialised teams within Databricks, and creating and driving onboarding plans. While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing, or Data Science are essential. You will report directly to a DSA Manager within the Field Engineering organisation. The impact you will have: - Be the Databricks Architect working with customer technical teams on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices, and enablement. - 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 internal point of contact for any questions related to production/go live status of agreed upon use cases within an account, often for multiple use cases within the largest and most complex organisations. - Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise. - Create 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, presenting them to the customers when applicable for their ongoing developments. - Provide internal and external updates - KPI reporting on the status of usage and customer health, risks and blockers, product adoption, and use case progression - to your Field Engineering leadership. Qualifications - Programming experience in PySpark, SQL, or Scala. - Understanding and hands-on experience of solution architecture-related distributed data and analytics systems. - 5+ years of experience where you have been accountable for delivery of projects in Data, Analytics, or AI and where you can contribute to technical debate and design choices with customers. - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roles. - Understanding of how to attribute business value and outcomes to specific project deliverables. - Technical program coordination including account and stakeholder management. - Experience resolving complex and important escalation with senior customer technical stakeholders. - 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%. 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 . Company Description 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.
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