Delivery Solutions Architect - Startups & Emerging Enterprise

Databricks

California (MO)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Jobtailor is seeking a Senior Technical Programs Manager to lead data and AI delivery for our strategic Databricks use cases in major accounts. You will partner with Solutions Architects and cross-functional teams to align on demand plans, drive onboarding, and ensure successful go-lives with healthy consumption of workloads on Databricks.

You will act as the technical leader across multiple teams, handling complex escalations and directing PS and product collaborations to accelerate value

Qualifications

  • 5+ years of experience accountable for technical project / 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.
  • Understanding of how to attribute business value and outcomes to specific project deliverables.

Responsibilities

  • Engage with Solutions Architects to understand the full use case demand plan for prioritized customers.
  • Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts.
  • Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks.
  • Be the first contact for any technical issues or questions related to production/go-live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations.
  • Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and elevate to subject matter experts when work falls beyond your scope or expertise.
  • Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals.
  • Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades.
  • Develop an execution plan spanning all customer-facing technical roles and teams across the following work streams: Main use cases moving from ‘win’ to production, Enablement / user growth plan, Product adoption, Organic needs for current investment, Executive and operational governance.
  • Provide internal and external updates to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression

Skills

Python
SQL
Scala

Education

BSc in Computer Science
BSc in Information Systems
BSc in Engineering

Tools

Databricks
Distributed Data Systems
Cloud Cost Control
User Education
Onboarding Services

Job description

Responsibilities
  • Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
  • Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
  • Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks
  • Be the first contact for any technical issues or questions related to production/go-live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations
  • Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and elevate to subject matter experts when work falls beyond your scope or expertise
  • Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
  • Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades
  • Develop an execution plan spanning all customer-facing technical roles and teams across the following work streams:
    • Main use cases moving from ‘win’ to production
    • Enablement / user growth plan
    • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
    • Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
    • Executive and operational governance
  • Provide internal and external updates to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression
Requirements
  • 5+ years of experience accountable for technical project / 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
  • Understanding of how to attribute business value and outcomes to specific project deliverable
  • Technical program or project management, including accountability for accounts, stakeholders, and resources
  • Experience resolving complex, high-stakes 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 practical experience
  • Can travel up to 30% when needed.
Core Competencies

Demonstrates expertise in technical project delivery within Data and AI, with a strong focus on customer engagement, solution architecture, and program management. Proven ability to drive product adoption and manage complex stakeholder relationships effectively.

Certifications & Qualifications
  • Bachelor's Degree in Computer Science
  • Bachelor's Degree in Information Systems
  • Bachelor's Degree in Engineering
Industry Keywords
  • Data Systems
  • AI Solutions
  • Technical Architecture
  • Pre-Sales Engagement
  • Product Adoption
Tools & Technologies
  • Databricks
  • Distributed Data Systems
  • Cloud Cost Control
  • User Education
  • Onboarding Services
Soft Skills
  • Customer Engagement
  • Problem Resolution
  • Strategic Roadmapping
  • Communication Skills
  • Collaboration
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