Remote Solutions Architect Data Engineering & Warehousing

Dataroles; Northern (KY); Hybrid; USD 180,000 - 248,000; Full time

Job summary

Databricks is seeking a Data Engineering and Warehousing Specialist Solutions Architect to lead the technical strategy for your customers — owning complex architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. This position can be remote.

You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy, collaborating across teams to deliver

Qualifications

• 6+ years in solutions architecture, pre-sales or senior technical roles.
• Strong coding in Python and SQL with live solution-building ability.
• Experience with production cloud deployments and data lakehouse patterns.
• Excellent communication and stakeholder management skills.

Responsibilities

• Own end-to-end technical strategy for accounts from discovery to production deployment.
• Lead complex architecture discussions for scalable, production-grade solutions.
• Serve as trusted technical advisor to customer architects and directors.
• Drive technical wins by demonstrating Databricks differentiation with custom solutions.
• Coordinate cross-functional resources to deliver complex customer solutions.
• Provide feedback to influence product direction and address gaps.

Skills

Python

SQL

Apache Spark

Data architectures

Solutions architecture

Education

Bachelor's or Master's in CS/Engineering

Tools

Databricks Platform

Kafka

AWS/Azure/GCP

SIEM tools (Splunk/Elastic/Sentinel)

Job description

Databricks is seeking a Data Engineering and Warehousing Specialist Solutions Architect to lead the technical strategy for your customers — owning complex architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. This position can be remote.

You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy, collaborating across teams to deliver