Senior Solutions Architect - Retail, Consumer Goods, Travel & Hospitality
Databricks Mosaic · Atlanta, Georgia; Charlotte, North Carolina; Southeast - United States · Remote - California
CHECKED 15H AGO
InfrastructureremoteSenior$219k–$301k
At a glance
Highlights
- Lead architecture for multi-workload platforms and AI/ML at scale.
- Advise executives on enterprise data and AI strategy.
- Orchestrate cross-functional teams to deliver enterprise-grade solutions.
What they offer
- Annual performance bonus
- Equity
- Comprehensive benefits
Ideal candidate
A seasoned customer-facing technical leader who loves solving the hardest data challenges, influencing executives, and mentoring peers while driving real business impact through AI.
Requirements
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or senior customer-facing technical role
- Expert-level coding proficiency - Python, SQL, and ideally Spark/PySpark
- Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design, governance and cloud-native platforms
- Expert-level Databricks Platform knowledge or equivalent depth in competing platforms
- Declared technical specialization with recognized depth
- Proven track record driving consumption growth and platform adoption in large accounts
- Executive presence 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