Sr. Delivery Solutions Architect
Post-sale technical lead at Databricks who drives strategic (Thailand-based) accounts from technical win to production, owning technical strategy, escalations, enablement and platform consumption growth. Hybrid technical/commercial role across the Databricks data+AI platform; requires Python/SQL/Scala skills and Thai language fluency.
- Compensation
- Not disclosed
- Location
- Singapore
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Architecture
- Posted
Skills
Must have
- 8+ years accountable for technical project/program delivery within Data and AI, able to 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 resolving complex and important escalations with senior customer executives
- Experience conducting open-ended discovery workshops, creating strategic roadmaps, business analysis, and managing delivery of complex programmes/projects
- Track record of overachievement against quota, goals or similar objective targets
- Proficiency in the Thai language (role serves clients in Thailand with direct customer communications in Thai)
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
- Able to travel up to 30% when needed
Full description
CSQ427R262
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Sr. Delivery Solutions Architect (Sr. 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 of 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, orchestration of 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 use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a Field Engineering Manager.
The impact you will have:
- Engage with Solutions Architects to understand the full use case demand plan for prioritised 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 where the customer has made the decision to consume Databricks
- Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
- Leverage both 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