Data & AI Solutions Architect

Cacheflow; Denver (CO); On-site; USD 140,000 - 190,000; Full time

Job summary

Databricks in Denver is seeking an experienced Solutions Architect to lead customer engagements, design architectures, and guide implementations using the Databricks platform, Spark, Delta Lake, and MLflow.

You will partner with sales to build relationships, create reference architectures, and evangelize Databricks open-source projects across developer communities while traveling up to 30% to customer sites.

Qualifications

• 4+ years in a customer-facing pre-sales, technical architecture, or consulting role.
• Experience designing and architecting distributed data systems.
• Comfortable programming in Python, Scala, Java, SQL, or R.
• Built solutions with AWS, Azure, or GCP.
• Experience in Data Engineering, Data Warehousing, or Data Science/ML.
• Preferred degree in a quantitative discipline.
• Nice to have: Databricks Certification.

Responsibilities

• Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks.
• Consult on big data architecture, implement proof of concepts, data science and ML projects, and validate integrations.
• Build and present reference architectures, technical guides, and demo applications.
• Provide escalated support for critical customer operational issues.
• Become an expert in Databricks open-source projects across communities.
• Travel to customers up to 30%.

Skills

Customer-facing pre-sales

Distributed data systems

Python/Scala/Java/SQL/R

Public cloud (AWS/Azure/GCP)

Data engineering (Spark/Hadoop/Kafka)

Data warehousing (SQL/OLTP/OLAP)

Data science/ML basics

Education

Degree in quantitative discipline

Tools

Apache Spark

Databricks Certification

Delta Lake

Job description

Databricks in Denver is seeking an experienced Solutions Architect to lead customer engagements, design architectures, and guide implementations using the Databricks platform, Spark, Delta Lake, and MLflow.

You will partner with sales to build relationships, create reference architectures, and evangelize Databricks open-source projects across developer communities while traveling up to 30% to customer sites.