Delivery Solutions Architect
Databricks5 months ago
London, United KingdomSenior
Responsibilities
- Lead post-technical-win account strategies and execution plans across the majority of Databricks use cases in strategic accounts.
- Own technical delivery for assigned customers and use cases, including onboarding, enablement, success, go-live, and healthy workload consumption.
- Serve as the first technical contact for production and go-live questions and issues.
- Coordinate Shared Services, User Education, Onboarding and Technical Services, Support, technical experts, and Professional Services resources.
- Create and execute plans to accelerate key use cases into production and coordinate Professional Services engagement proposals.
- Navigate Databricks Product and Engineering teams for product innovations, private previews, and upgrades.
- Develop execution plans covering production use cases, user growth, product adoption, cloud cost control, optimization, and executive governance.
- Build customer and executive relationships, lead stakeholders, orchestrate internal teams, and drive customer growth.
- Provide internal and external KPI updates on usage, customer health, investment status, risks, product adoption, and use-case progression.
Requirements
- At least 5 years of experience delivering technical projects or programs in Data and AI, with the ability to contribute to customer technical debates and design decisions.
- Programming experience in Python or Spark.
- Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.
- Understanding of solution architecture for distributed data systems.
- Understanding of how to connect business value and outcomes to 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, developing strategic roadmaps, performing business analysis, and managing complex programs or projects.
- Track record of exceeding quota, goals, or comparable 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 provided separately.
- Hybrid work arrangement.
- Up to 30% travel 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.