Data Architect (AI/ML & Databricks)

Location: Denver, CO, Plano, TX, Seattle, WA, San Francisco, CA, Portland, OR Overview 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) #J-18808-Ljbffr