Delivery Solutions Architect - Digital Native Business
About this role
Guiding customers through the design and implementation of data and AI architectures forms the core of daily operations in this customer-facing role. Collaboration with sales, field engineering, and solutions architecture teams enables the acceleration of platform adoption across strategic accounts. Technical strategies are influenced across multiple workstreams to ensure secure, governed, and scalable outcomes.
Databricks builds the Data Intelligence Platform to help organizations solve complex data and AI challenges. Professionals in this position serve as trusted technical advisors, resolving ambiguous problems and building prototypes to drive consumption. Candidates who combine strong coding skills with stakeholder management capabilities will thrive in this environment.
What you will do
- Define technical execution strategies and guide architecture decisions across complex use cases.
- Serve as a trusted technical advisor to customer leads by leading architecture discussions.
- Design secure, governed, and scalable Databricks architectures while balancing performance and cost.
- Build working solutions, prototypes, and reusable technical assets to accelerate customer outcomes.
- Partner across internal and customer teams to align resources, manage risks, and unblock delivery.
- Mentor peers and contribute reusable technical guidance and frameworks across the organization.
What you need
- Bring five or more years of experience in solutions architecture, technical consulting, data engineering, or related fields.
- Demonstrate strong coding proficiency in Python, SQL, Scala, or similar programming languages.
- Possess a deep understanding of distributed data systems, analytics, data warehousing, AI/ML, and cloud architectures.
- Show experience in designing secure, governed, scalable, and production-ready data solutions.
- Hold a bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Nice to have
- Databricks experience or certification
- Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations
- Experience with AWS, Azure, or GCP and production cloud deployments
- Experience creating reusable technical frameworks, demos, or enablement that scale across teams
Skills and tech stack
Questions candidates ask
What is the travel requirement for this role?
Travel is required up to 30% as needed.
What is the salary range for this position?
The local pay range is $180,000 to $247,500 USD.
What steps are included in the interview process?
The process includes a recruiter screen, hiring manager screen, design and architecture round, live coding, and a build, demo and pitch step, followed by a reference check.