Delivery Solutions Architect - Startups & Emerging Enterprise
Databricks3 months ago
Base Salary
$180k - $248k/yr
Responsibilities
- Lead post-technical-win account strategy and execution for prioritized customer use cases.
- Own technical delivery plans that move use cases into production, including onboarding, enablement, go-live, and healthy workload consumption.
- Act as the first technical contact for production and go-live issues, escalating to subject matter experts as needed.
- Coordinate Shared Services, User Education, Onboarding and Technical Services, Support, Professional Services, Product, and Engineering teams.
- Create and execute plans for use-case acceleration, user growth, product adoption, cloud cost control, tuning, optimization, and governance.
- Build customer executive relationships, lead stakeholders, and provide KPI updates on usage, customer health, risks, investment status, adoption, and use-case progression.
Requirements
- At least 5 years of experience accountable for technical project or program delivery in Data and AI.
- 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 for distributed data systems and attribution of business value to project deliverables.
- Experience with technical program or project management, including accountability for accounts, stakeholders, and resources.
- Experience resolving complex, high-stakes 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 practical experience.
- Ability to travel up to 30% when needed.
Benefits
- Hybrid work arrangement
- Comprehensive benefits and perks, with details varying by region
- 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.