Data Architect (AI/ML & Databricks)

Job Title: Data Architect (AI/ML & Databricks) Location: Denver, CO (Onsite) Job Type: Full Time - (Salary + Benefits) Min Experience- 14+ Years Required Skills / Qualifications 14+ years of experience in data engineering or data architecture, with a strong focus on Databricks (4-5+ years) and AI/ML enablement Strong hands-on experience with Apache Spark and Delta Lake Expertise in AI/ML pipeline integration using Databricks MLflow and/or custom model deployment strategies Strong knowledge of Apache Airflow, Databricks Jobs, and cloud-native orchestration patterns Experience with Structured Streaming, Kafka, and real-time analytics frameworks Proven ability to design and implement cloud-native data architectures Solid understanding of data modeling, Lakehouse design principles, and data lineage/tracking using Unity Catalog Excellent communication skills and experience working with stakeholders Preferred Qualifications Databricks Data Engineering Professional Certification (highly desirable) Experience transitioning from in-house data platforms to Databricks / cloud-native environments Hands-on experience with Delta Lake, Unity Catalog, and performance tuning in Databricks Expertise in Airflow DAG design, dynamic workflows, and production troubleshooting Experience with CI/CD pipelines, Infrastructure-as-Code (Terraform, ARM templates), and DevOps practices Exposure to AI/ML model integration in real-time and batch data pipelines Exposure to MLOps, MLflow, Feature Store, and production model monitoring Experience with LLM/GenAI enablement, vectorized data, embedding storage, and Databricks integration (added advantage)