Delivery Solutions Architect
Databricks
About the role
Delivery Solutions Architect (DSA) – Databricks
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will collaborate with sales and field engineering teams to accelerate adoption and growth of the platform, ensuring customer success through technical accountability and guidance on complex workloads.
The Impact You Will Have
- Engage with Solutions Architects to understand the full use‑case demand plan for prioritized customers.
- Lead the post‑technical‑win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts.
- Serve as the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, driving onboarding, enablement, success, go‑live, and healthy consumption of workloads.
- Act as the first contact for any technical issues or questions related to production/go‑live status of agreed‑upon use cases, often supporting multiple use cases within large, complex organizations.
- Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, escalating to expert‑level technical experts when needed.
- Create, own, and execute a point‑of‑view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) on delivery of PS engagement proposals.
- Navigate Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs.
- Develop an execution plan covering all activities of customer‑facing technical roles and teams, including:
- 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 – KPI reporting on usage and customer health, covering investment status, risks, product adoption, and use‑case progression – to your Technical GM.
What We Look For
- 5+ years of experience accountable for technical project/program delivery within Data and AI, contributing to technical debate and design choices with customers.
- 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.
- Ability to attribute business value and outcomes to specific project deliverables.
- Technical program or project management experience, including account, stakeholder, and resource management accountability.
- Experience resolving complex escalations with senior customer executives.
- Experience conducting open‑ended discovery workshops, creating strategic roadmaps, performing business analysis, and managing delivery of complex programmes/projects.
- Track record of overachievement against quota, goals, or similar objectives.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
- Ability to travel up to 30% when needed.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
Databricks is committed to fostering a diverse and inclusive culture where everyone can excel. Our hiring practices are inclusive and meet equal employment opportunity standards. Individuals are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.
Compliance
If access to export‑controlled technology or source code is required for performance of job duties, it is at the employer’s discretion whether to apply for a U.S. government license for such positions, and the employer may decline to proceed with an applicant on this basis alone.
Requirements
- 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
- 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 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 escalation with senior customer executives
- Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
- Track record of overachievement against quota, Goals or similar objective targets
Responsibilities
- Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
- Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
- Be 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
- Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
- Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
- Create, own and execute 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
- Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
- Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below 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 - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM
Skills
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free