Solutions Architect - Emerging Enterprise (Startups)
Core
Lead the adoption of the Databricks Unified Analytics Platform by identifying use cases, developing architectures, and guiding customers through implementations to deliver strategic business value.
Role type
Senior Solutions Architect (Data & AI)
Builds
Reference architectures, technical guides, demo applications, and proof of concepts for Data and AI solutions on public cloud providers.
Domain
Data Engineering, Data Science, Machine Learning, Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Distributed data system architecture, Cloud platform design (AWS/Azure/GCP), Programming (Python/Scala/Java/SQL/R), Data Engineering, Data Warehousing, Data Science/ML technologies
Preferred skills
Databricks Certification, Degree in quantitative discipline
Technologies
Apache Spark, Delta Lake, MLflow, Kafka, Hadoop, pandas, scikit-learn
Responsibilities
Provide technical leadership for customers to evaluate and adopt Data and AI solutions; Consult on big data architecture and validate integrations with cloud services; Build and present reference architectures and demo applications; Provide escalated support for critical customer operational issues; Evangelize open-source projects through meetups and conferences; Drive cross-functional relationships across the company.
Seniority
Senior, hands-on IC
