Sr. Solutions Architect - Digital Native Business (Strategic Accounts)
Databricks Mosaic · Remote - California; San Francisco, California · Remote - Texas
CHECKED 15H AGO
Infrastructureremotesenior$219k–$301k
At a glance
Highlights
- Drive technical strategy for the most complex strategic customer engagements.
- Lead multi-workload platforms, enterprise migrations and AI at scale.
- Orchestrate cross-functional teams to deliver enterprise-grade solutions.
What they offer
- Annual performance bonus
- Equity
- Comprehensive benefits
Ideal candidate
Seasoned technical leader with 8+ years in customer-facing architecture who thrives on complex challenges and executive influence. You mentor others, connect architecture to business outcomes, and drive platform adoption.
Requirements
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership or senior customer-facing technical role
- Expert-level coding proficiency in Python, SQL and ideally Spark/PySpark
- Deep expertise in enterprise data architecture including distributed systems, streaming, lakehouse design and cloud-native platforms
- Expert-level Databricks platform knowledge or equivalent depth in competing platforms
- Declared technical specialization such as real-time architectures, ML/AI platforms, governance or large-scale migrations
- Proven track record driving consumption growth and platform adoption in large accounts
- Executive presence with ability to influence Directors, VPs and C-level stakeholders
- Experience leading competitive displacements and complex enterprise evaluations
- Bachelor's or Master's in Computer Science, Engineering or quantitative discipline or equivalent experience
- hiring process
- Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration