Data & AI Solutions Architect — Customer-Facing

Databricks; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

Databricks is seeking a Solutions Architect to help customers leverage the Databricks Unified Analytics Platform across cloud environments. You will identify use cases, design architectures, and guide implementations to deliver business value.

You will partner with the sales team and become a trusted advisor. You will travel up to 30% to customer sites, lead technical conversations, and present reference architectures, demos, and proof-of-concepts while evangelizing open‑source Databricks

Qualifications

• 4+ years in customer-facing pre-sales or architecture.
• Experience designing distributed data systems.
• Proficiency in Python, Scala, Java, SQL, or R.
• Experience with AWS, Azure, or GCP.
• Experience with Spark, Hadoop, Kafka.
• Degree in quantitative field; Databricks Certification preferred.

Responsibilities

• Lead adoption of the Databricks platform for customers.
• Design architectures and guide implementations to deliver business value.
• Build reference architectures, technical guides, and demos for customers.
• Provide escalated support for critical customer issues.
• Travel to customers up to 30% of the time.
• Collaborate with sales and cross-functional teams to drive outcomes.

Skills

Customer facing

Data architecture

Programming languages

Public cloud

Spark/Hadoop/Kafka

Data warehousing

Data science/ML

Education

Bachelor's degree in a quantitative discipline

Tools

Databricks Certification

Job description

Databricks is seeking a Solutions Architect to help customers leverage the Databricks Unified Analytics Platform across cloud environments. You will identify use cases, design architectures, and guide implementations to deliver business value.

You will partner with the sales team and become a trusted advisor. You will travel up to 30% to customer sites, lead technical conversations, and present reference architectures, demos, and proof-of-concepts while evangelizing open‑source Databricks