Senior Delivery Solutions Architect – Manufacturing

📋 Description

• Collaborate with Solutions Architects to gain a comprehensive understanding of the demand plan for prioritized customers.

• Spearhead the technical account strategy and execution plan following technical wins for the majority of Databricks use cases within our key strategic accounts.

• Serve as the accountable technical leader for specific use cases and customers across various selling teams and internal stakeholders, transforming uncertainty into certainty and facilitating onboarding, enablement, successful go-live, and optimal usage of workloads where customers have chosen to utilize Databricks.

• Act as the primary point of contact for any technical inquiries or issues related to the production/go-live status of agreed-upon use cases within an account, often handling multiple use cases within the largest and most complex organizations.

• Utilize Shared Services, User Education, Onboarding/Technical Services, and Support resources, while also escalating to expert-level technical specialists to formulate the appropriate tasks that extend beyond your own scope of activities or expertise.

• Develop, own, and implement a comprehensive viewpoint on how key use cases can be expedited into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals.

• Engage with Databricks Product and Engineering teams regarding new product innovations, private previews, and upgrade requirements.

• Formulate an execution plan that encompasses all activities of customer-facing technical roles and teams to address the following work streams:

• Transitioning main use cases from 'win' to production.

• Enablement and user growth strategy.

• Product adoption initiatives (strategies and activities to enhance the adoption of Databricks’ Lakehouse vision).

• Organic needs related to current investments (e.g., cloud cost control, tuning & optimization).

• Executive and operational governance.

• Provide both internal and external updates, including KPI reporting on usage and customer health status, covering investment status, significant risks, product adoption, and use case progression to your Technical GM.

⛳️ Requirements

• A minimum of 5 years of experience in which you have been responsible for technical project or program delivery within the Data and AI domain.

• Proficiency in programming languages such as Python, SQL, or Scala.

• Experience in a customer-facing role, including pre-sales, technical architecture, customer success, or consulting.

• Knowledge of solution architecture related to distributed data systems.

• Ability to attribute business value and outcomes to specific project deliverables.

• Expertise in technical program or project management, including accountability for account, stakeholder, and resource management.

• Proven experience in resolving complex escalations with senior customer executives.

• Experience conducting open-ended discovery workshops, crafting strategic roadmaps, performing business analysis, and managing the delivery of complex programs/projects.

• A history of exceeding quotas, goals, or similar performance targets.

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.

• Willingness to travel up to 30% as necessary.

🏝️ Benefits

• Comprehensive benefits and perks.

• Health insurance.

• Retirement plans.

• Paid time off.

• Flexible work arrangements.

• Professional development opportunities.

• Performance bonuses.

• Stock options.

• Equipment allowances.

• Wellness programs.