Databricks · AI infrastructure
Delivery Solutions Architect
- Seoul (Hybrid)
Still open on Databricks's site · checked just now
- Posted
What you'll do
As written by Databricks · Read the original
The impact you will have
- Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritized customers.
- Own the Post-Technical Win technical account strategy and investment 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/ambiguity 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 point of 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 of User Education, Onboarding/Technical Services and Support resources, along with escalating to Level 400/500 technical experts (Specialist Solution Architects and Product Specialists) to execute on the right tasks that are beyond your scope of activities or expertise.
- Create, own and execute a PoV as to how key use cases can be accelerated into production, bringing EM/PM in to prepare Professional Services proposals.
- Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs (DBR, E2 and Unity Catalog).
- Build and maintain an executive level as well as a detailed programme level success plan that covers all activities of Customer, PS, Partner, SSA, Product Specialist, SA to cover the below workstreams:
- Key use cases moving from 'win' to production
- Enablement / user growth plan
- Product adoption (strategy and activities to increase adoption of LH vision)
- Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimization
- Executive and operational governance
- Proactively provide internal and external updates - KPI reporting on the status of consumption and customer health, covering investment status, key risks, product adoption and use case progression - to your Technical GM
- Development of reusable and scalable assets and mentorship of junior team members to establish the DSA team
Requirements
What we look for
- 8+ years in a customer-facing pre-sales, technical architecture, customer success, or consulting role
- Experience understanding architecture related distributed data systems, specifically within one of the following:
- Data Engineering technologies (e.g. Spark, Hadoop, Kafka)
- Data Warehousing (e.g. SQL, OLTP/OLAP/DSS)
- Data Science and Machine Learning technologies (e.g. pandas, scikit-learn, HPO)
- Comfortable managing multiple projects at once, and engaging a virtual team of subject matter experts to address any onboarding or technical challenges outside of your remit or bandwidth.
- Influencing and leading teams - especially without having direct reporting line responsibility for individuals within account and leadership teams, both internally and externally
- Executive Stakeholder management - experience in effectively engaging and influencing a variety of audiences (technical, non technical) at all levels of an organization with particular success in building and maintaining strong CxO level relationship
- Executive escalation management - experience in resolving complex and critical escalation with senior customer and internal executives
- Strategic Management Consulting - experience of conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
- Building and steering to a value case - business value consulting and realization
- Quota ownership, achievement and track record of great performance against objective target
- Proficient in both Korean and English (Native level Korean and Business level English) verbally and in writing
Skills
Stack
- scikit-learn
- SQL
- Spark
- pandas
Working languages
English
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.
