# Delivery Solutions Architect **Company**: Databricks **Location**: London, United Kingdom **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q18350420 **Apply**: https://job-boards.greenhouse.io/databricks/jobs/8549681002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_abf08c6a-3a8 ## Description As a Delivery Solutions Architect at Databricks, you will play a crucial role in empowering customers to solve the world's toughest data problems using the Databricks Data Intelligence Platform. You will collaborate with sales and field engineering teams to accelerate the adoption and growth of the platform in your customers. Your primary responsibility will be to ensure customer success by increasing focus and technical accountability to complex customers who need guidance to accelerate usage on Databricks workloads. This is a hybrid technical and commercial role that requires you to drive growth in your assigned customers and use cases through leading customer stakeholders, building executive relationships, and creating and driving plans and strategies for Databricks colleagues to build upon. Key responsibilities include: - Engaging with Solutions Architects to understand the full use case demand plan for prioritized customers - Leading the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts - Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders - Creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks - Being the first contact for any technical issues or questions related to production/go live status of agreed-upon use cases within an account - Leveraging Shared Services, User Education, Onboarding/Technical Services, and Support resources to build the right tasks that are beyond your scope of activities or expertise - Creating, owning, and executing a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals - Navigating Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs - Developing an execution plan that covers all activities of all customer-facing technical roles and teams to cover main use cases moving from 'win' to production, enablement/user growth plan, product adoption, organic needs for current investment, executive and operational governance, and providing internal and external updates Requirements include: - 5+ years of experience in technical project or program delivery within the domain of Data and AI - Programming experience in Python or Spark - Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role - Understanding of solution architecture related distributed data systems - Understanding of how to attribute business value and outcomes to specific project deliverables - Technical program or project management including account, stakeholder, and resource management accountability - Experience resolving complex and important escalations with senior customer executives - Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects - Track record of overachievement against quota, goals, or similar objective targets - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Benefits include: - Comprehensive benefits and perks that meet the needs of all employees - Fostering a diverse and inclusive culture where everyone can excel - Equal employment opportunity standards Compliance includes: - Access to export-controlled technology or source code is required for performance of job duties - Employer's discretion whether to apply for a U.S. government license for such positions ## Skills ### Required - Python - Spark - Data and AI - Solution architecture - Project management - Customer success - Technical leadership --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8549681002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)