Overview
Delivery Solutions Architect (DSA) – this role can be based in Berlin, Munich or remotely in Germany. At Databricks, you will collaborate with sales and field engineering teams to accelerate adoption and growth of the Databricks platform. Your responsibilities include ensuring customer success by focusing on technical accountability and guiding complex customers to maximize the value and return on investment of the platform.
Responsibilities
- Engage with Solutions Architects to understand the full use‑case demand and prioritised customer plans.
- Lead the post‑technical win strategy and execution plan for the majority of Databricks use‑cases within our most strategic accounts.
- Serve as the accountable technical leader for specific use‑cases and customers across multiple selling teams and internal stakeholders, ensuring onboarding, enablement, success, go‑live, and healthy consumption of workloads.
- Act as the first contact for any technical issues or questions related to production/go‑live status of agreed‑upon use‑cases within an account.
- Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources, as well as expert‑level technical experts, to build the right solutions beyond your scope.
- Create, own and execute a point‑of‑view on how key use‑cases can accelerate into production, coordinating with Professional Services (PS) resources on PS engagement proposals.
- Navigate Databricks Product and Engineering teams for new product innovations, private previews and upgrade needs.
- Develop an execution plan covering all activities of customer‑facing technical roles and teams, including:
- 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 usage, customer health, investment status, risks, product adoption, and use‑case progression – to your Technical GM.
Qualifications
- 5+ years of experience leading technical project/program delivery in 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 for distributed data systems.
- Ability to attribute business value and outcomes to specific project deliverables.
- Technical program or project management experience – account, stakeholder and resource management.
- Experience resolving complex escalations with senior customer executives.
- Experience conducting open‑ended discovery workshops, creating strategic roadmaps, business analysis and delivering complex programmes.
- Track record of exceeding quota, goals or other objective targets.
- Bachelor’s degree in Computer Science, Engineering, Information Systems or equivalent via work experience.
- Willingness to travel up to 30% when needed.
Benefits
Databricks provides comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, please visit mybenefitsnow.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We ensure 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 or 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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