Delivery Solutions Architect
Databricks6 months ago
Singapore, SingaporeSenior
Responsibilities
- Engage with Solutions Architects to understand use-case demand plans for prioritized customers.
- Lead technical account strategy and execution after the technical win across strategic customer use cases.
- Own technical leadership for onboarding, enablement, success, go-live, and healthy workload consumption.
- Serve as the first technical contact for production and go-live issues across multiple use cases.
- Coordinate Shared Services, User Education, Onboarding and Technical Services, Support, and expert technical resources.
- Create and execute plans to accelerate key use cases into production and coordinate Professional Services engagement proposals.
- Navigate Product and Engineering teams for product innovations, private previews, and upgrades.
- Develop execution plans covering production migration, user growth, product adoption, cost control, tuning, optimization, and executive governance.
- Provide internal and external KPI updates on usage, customer health, investment status, risks, product adoption, and use-case progression.
- Drive customer growth, stakeholder leadership, executive relationships, and coordination across Databricks teams.
Requirements
- At least 5 years of experience accountable for technical project or program delivery in Data and AI.
- Programming experience with Python, SQL, or Scala.
- Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.
- Understanding of solution architecture for distributed data systems.
- Ability to connect business value and outcomes to specific project deliverables.
- Experience with technical program or project management, including account, stakeholder, and resource management accountability.
- Experience resolving complex escalations with senior customer executives.
- Experience conducting discovery workshops, creating strategic roadmaps, performing business analysis, and managing complex programs or projects.
- Track record of overachievement against quota, goals, or similar objective targets.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
- Ability to travel up to 30% when needed.
Benefits
- Comprehensive employee benefits and perks, with region-specific details available through Databricks benefits resources.
- Hybrid role with travel of up to 30% when needed.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.