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# Customer Solutions Architect - Cloud Data & AI NEW

- **Company:** Briefed Inc.
- **Location:** Denver, CO, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Database, Computer Programming, Information Engineering, Data Systems, Data Warehousing, Software Debugging, Decision Support Systems, Distributed Data Store, Apache Hadoop, Python (Programming Language), Machine Learning, Online Analytical Processing, Online Transaction Processing, Scala (Programming Language), SQL Databases, Systems Integration, Google Cloud, Enterprise Software Applications, Sql Optimization, Apache Spark, Pandas, Event Driven Architecture, Data Lakes, AI Platforms, Scikit Learn, Information Technology, Apache Kafka, Machine Learning Operations, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_8613c1dea88ca634ff42a651d5eb8b81

## About the Role

* 4+ years of experience in a customer-facing pre-sales engineering, technical architecture, or technical consulting role.
 * Demonstrated experience designing, architecting, and optimizing distributed data systems at scale.
 * Hands-on programming and debugging proficiency in at least one core language: Python, Scala, Java, SQL, or R.
 * Proven experience architecting data solutions on at least one major public cloud platform (AWS, Azure, or GCP).
 * Deep domain expertise in at least one of the following areas:
 + Data Engineering: Apache Spark, Hadoop, Apache Kafka, streaming architectures.
 + Data Warehousing: Advanced SQL, OLAP/OLTP systems, decision support systems (DSS).
 + Data Science & ML: pandas, scikit-learn, hyperparameter optimization (HPO), ML pipelines.

Soft Skills & Travel

 * Exceptional presentation, whiteboarding, and communication skills across both technical and executive audiences.
 * Ability and willingness to travel to customer sites up to 30% of the time., * Bachelor's or Master's degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research, Data Engineering).
 * Formal Databricks Certification (e.g., Certified Data Engineer Professional, Certified Machine Learning Professional, or Certified Solutions Architect).
 * Familiarity with the broader Databricks product ecosystem, including Unity Catalog, Delta Lake, MLflow, and Lakehouse architectures.

## Description

As a Solutions Architect at Databricks, you will act as a trusted technical advisor to enterprise customers, helping them evaluate, architect, and adopt the Databricks Data + AI Platform. Working side-by-side with our enterprise sales team, you will design distributed data systems, construct proof of concepts (POCs), and advocate the Lakehouse paradigm powered by open-source technologies including Apache Spark , Delta Lake, MLflow, and Koalas. In this role, you will bridge the gap between business objectives and cloud-native technical architectures across AWS, Azure, and GCP., * Technical Pre-Sales Leadership: Partner with account executives to drive technical evaluation, architectural alignment, and adoption of Databricks solutions across strategic customer accounts.

 * Architectural Design & POC Execution: Design, build, and deliver production-grade proof-of-concept (POC) applications, distributed data pipelines, and machine learning workflows.
 * Cloud & 3rd-Party Integrations: Validate and consult on end-to-end architectures integrating Databricks with public cloud infrastructure (AWS, Azure, GCP) and enterprise software ecosystems.
 * Thought Leadership & Evangelism: Build reference architectures, technical guides, and live platform demonstrations; evangelize Databricks open-source projects across developer communities via webinars, meetups, and conferences.
 * Customer Escalation Support: Provide senior-level technical guidance and debugging support for critical operational issues during customer deployments.
 * Cross-Functional Collaboration: Participate in internal Subject Matter Expert (SME) groups, sharing industry insights to refine product features and empower fellow Solutions Architects.