Data & AI Solutions Architect for Cloud Platforms

WinsAbove; Northern (KY); Hybrid; USD 140,000 - 247,000; Full time

Job summary

Databricks is hiring a Solutions Architect to lead customer adoption of the Lakehouse platform. You will architect, prototype, and present reference architectures; collaborate with sales to build trusted advisor relationships; and guide customers through data and AI implementations.

You will work with open-source projects like Spark, Delta Lake, and MLflow, gaining expertise across cloud platforms, data engineering, analytics, and ML. This role involves travel and customer-facing engagements.

Qualifications

• 3+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Proficient in Python, Scala, Java, SQL, or R
• Experience with AWS, Azure, or GCP
• Knowledge of Spark, Hadoop, Kafka or data warehousing concepts
• Degree in a quantitative discipline; Databricks Certification is a plus

Responsibilities

• Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks
• Consult on big data architecture, implement proofs of concept for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, technical guides, and demo applications for customers
• Provide escalated support for critical customer operational issues
• Become an expert in, and evangelize Databricks driven open-source projects across developer communities
• Collaborate with cross-functional teams and travel up to 30% (80% local to region)

Skills

Customer-facing

Distributed data systems

Programming: Python/Scala/Java/SQL/R

Public cloud (AWS/Azure/GCP)

Databricks ecosystem

Databricks Certification

Education

Degree in a quantitative discipline

Tools

Spark

Hadoop

Kafka

SQL

Job description

Databricks is hiring a Solutions Architect to lead customer adoption of the Lakehouse platform. You will architect, prototype, and present reference architectures; collaborate with sales to build trusted advisor relationships; and guide customers through data and AI implementations.

You will work with open-source projects like Spark, Delta Lake, and MLflow, gaining expertise across cloud platforms, data engineering, analytics, and ML. This role involves travel and customer-facing engagements.