Delivery Solutions Architect - Digital Native Business
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will partner with Sales, Solutions Architecture and Field Engineering to accelerate adoption of the Databricks platform. You will act as a trusted technical advisor, lead architecture discussions, design secure and scalable solutions, build prototypes and drive customers from technical win through production and adoption.
Requirements
- 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or related role
- Experience influencing technical strategy and architecture across complex use cases
- Strong coding proficiency in Python, SQL, Scala, or similar
- Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and cloud architectures
- Experience designing secure, governed, scalable, production-ready data solutions
- Strong stakeholder management and cross-functional leadership skills
- Bachelor's degree in Computer Science, Engineering, or equivalent experience
- Travel up to 30% as needed
Responsibilities
- Define and influence technical execution strategies across complex use cases and workstreams within strategic accounts
- Serve as a trusted technical advisor to customer technical leads and architects
- Design secure, governed, and scalable Databricks architectures
- Build and demonstrate working solutions, prototypes, and reusable technical assets
- Establish best practices for security, governance, and operational excellence
- Drive adoption and consumption by influencing architecture and unblocking delivery
- Partner across Databricks, customer, and implementation teams to manage risks and accelerate delivery
- Mentor peers and contribute reusable technical guidance and enablement
Hiring Process
Recruiter Screen → Hiring Manager Screen → Design & Architecture → Live Coding → Build, Demo & Pitch → Reference Check