Delivery Solutions Architect
Databricks9 days ago
Vancouver, CanadaSenior
Responsibilities
- Lead post-technical-win account strategies and execution plans for strategic customers.
- Own technical delivery across onboarding, enablement, production go-live, adoption, consumption, and customer success.
- Serve as the primary technical contact for production and go-live questions across multiple use cases.
- Coordinate Shared Services, User Education, Onboarding/Technical Services, Support, Professional Services, Product, and Engineering teams.
- Create and execute plans for production acceleration, product adoption, optimization, governance, and executive engagement.
- Conduct customer discovery workshops, create strategic roadmaps, manage complex programs, and resolve executive-level escalations.
- Provide internal and external KPI reporting on usage, customer health, investment status, risks, adoption, and use-case progression.
Requirements
- 7+ years of experience accountable for technical project or program delivery in Data and AI.
- Programming experience in Python, SQL, or Scala.
- Experience in customer-facing pre-sales, technical architecture, customer success, or consulting.
- Understanding of solution architecture for distributed data systems.
- Experience attributing business value and outcomes to project deliverables.
- Experience with technical program or project management, account management, stakeholder management, and resource management.
- Experience resolving complex escalations with senior customer executives.
- Experience conducting discovery workshops, business analysis, strategic roadmapping, and delivery of complex programs or projects.
- Track record of overachievement against quota, goals, or similar targets.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
- Willingness and ability to travel up to 30% when needed.
Benefits
- Hybrid work arrangement in Vancouver, Calgary, Edmonton, Toronto, or Montreal.
- Benefits and perks are offered according to the employee’s region.
- The compensation package may include an annual performance bonus and equity.
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.