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# Solutions Architect

- **Company:** Databricks
- **Location:** Denver, CO, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Information Engineering, Data Warehousing, Distributed Data Store, Apache Hadoop, Python (Programming Language), Machine Learning, Online Analytical Processing, Online Transaction Processing, Open Source Technology, Scala (Programming Language), SQL Databases, Google Cloud, Apache Spark, Multi-Cloud, Pandas, Data Lakes, Scikit Learn, Integration Frameworks, Apache Kafka, Data Management, Machine Learning Operations, Cloud Integration, Databricks
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/solutions-architect-denver-co-usa-58871817

## About the Role

* open-source projects (Spark, Delta Lake, MLflow, Koalas) across developer communities * Collaborate cross-functionally to strengthen internal SA capabilities and relationships * Travel to customer sites up to 30% Tasks * 4+ years in a customer-facing pre-sales, technical architecture, or consulting role * Experience designing and architecting distributed data systems * Proficiency in at least one of Python, Scala, Java, SQL, or R * Experience building solutions on public cloud platforms (AWS, Azure, GCP) * Experience in Data Engineering technologies (Spark, Hadoop, Kafka) * Experience in Data Warehousing (SQL, OLTP/OLAP/DSS) * Experience in Data Science and ML technologies (pandas, scikit-learn) Key requirements *

## Description

Experteer Overview As a Solutions Architect at Databricks, you drive the adoption of the Unified Analytics Platform for strategic customers. You will shape reference architectures, guide multi-cloud implementations, and collaborate with sales to establish trusted advisor relationships. You'll lead technical evaluations, proof-of-concepts, and open-source evangelism around Spark, Delta Lake, MLflow, and Koalas. This role blends hands-on data engineering, ML, and cloud integration to deliver measurable business value. Compensation / Benefits * Provide technical leadership to customers evaluating and adopting Data and AI solutions from Databricks * Consult on big data architecture, run proof-of-concept projects for strategic customers, data science and ML initiatives, and validate cloud and third-party integrations * Build and present reference architectures, technical guides, and demo applications * Provide escalated support for critical customer operational issues * Evangelize Databricks open-source projects (Spark, Delta Lake, MLflow, Koalas) across developer communities * Collaborate cross-functionally to strengthen internal SA capabilities and relationships * Travel to customer sites up to 30% Tasks * 4+ years in a customer-facing pre-sales, technical architecture, or consulting role * Experience designing and architecting distributed data systems * Proficiency in at least one of Python, Scala, Java, SQL, or R * Experience building solutions on public cloud platforms (AWS, Azure, GCP) * Experience in Data Engineering technologies (Spark, Hadoop, Kafka) * Experience in Data Warehousing (SQL, OLTP/OLAP/DSS) * Experience in Data Science and ML technologies (pandas, scikit-learn) Key requirements *


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