Databricks1 день назад
Delivery Solutions Architect - Healthcare & Life Sciences
15 000–20 625 ₽в месяц · до вычета
РЫНОК
15 000 ₽медиана по профессии
Solution Architect · 11 вакансий с указанной зарплатой
7 556половина предложений: 15 000–18 258500 000
В рынке · выше 64% предложений
United States
Обязанности
- 01Collaborate with sales and field engineering teams to accelerate adoption and growth of the Databricks platform in customers
- 02Help ensure customer success by increasing focus and technical accountability to complex customers who need guidance to accelerate usage on Databricks workloads they have selected, helping them maximize value and ROI
- 03Drive growth in assigned customers and use cases through leading stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating/driving plans and strategies for colleagues
- 04Serve as post-sale technical lead across all Databricks products
- 05Engage with Solutions Architects to understand full use case demand plan for prioritized customers
- 06Lead post-technical win technical account strategy and execution plan for majority of Databricks use cases within strategic accounts
- 07Be 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 workloads
- 08Be the first contact for any technical issues or questions related to production/go-live status of agreed upon use cases within an account, often servicing multiple use cases within largest and most complex organizations
- 09Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources, and escalate to expert level technical experts to build right tasks beyond scope
- 10Create, own and execute a point-of-view on how key use cases can be accelerated into production, coordinating with Professional Services resources on delivery of PS Engagement proposals
- 11Navigate Databricks Product and Engineering teams for new product innovations, private previews and upgrade needs
- 12Develop an execution plan covering activities of all customer-facing technical roles and teams for 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
- 13Provide internal and external updates - KPI reporting on status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to Technical GM
Требования
- 015+ years of experience accountable for technical project/program delivery within Data and AI domain, able to contribute to technical debate and design choices with customers
- 02Programming experience in Python, SQL, or Scala
- 03Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
- 04Understanding of solution architecture related distributed data systems
- 05Understanding of how to attribute business value and outcomes to specific project deliverables
- 06Technical program or project management including account, stakeholder and resource management accountability
- 07Experience resolving complex and important escalations with senior customer executives
- 08Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
- 09Track record of overachievement against quota, goals or similar objective targets
- 10Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
- 11Can travel up to 30% when needed
Условия
- 01Hybrid technical and commercial role
- 02Travel up to 30% when needed