Senior Data Architect – GCP | Lakehouse | AI/ML | Healthcare | 13+ yrs 🔹 Location: Nashville, TN 🔹 Employment Type: Contract 🔹 Start Date: Immediate 🔹 Domain: Healthcare About the Role: We are seeking a highly experienced Senior Data Architect to lead the architecture, design, and implementation of scalable, cloud-native data platforms using Google Cloud (GCP) and Lakehouse technologies. You’ll be responsible for shaping data strategy, optimizing pipelines for AI/ML use cases, and guiding data engineering teams in a healthcare-focused environment. Must-Have Skills: • Total IT Experience: Minimum 13+ years • Data Architecture & Engineering: 8+ years • GCP: 5+ years (BigQuery, Dataflow, Pub/Sub, Composer) • Lakehouse Technologies: Delta Lake / Apache Iceberg / Hudi – hands-on • Strong in Python, SQL, Apache Spark, Airflow • Experience with MLOps, AI/ML model pipelines, streaming (Kafka or Pub/Sub) • Experience integrating with BI tools (Looker, Tableau, Power BI) • Hands-on with data governance, metadata, compliance (HIPAA/FHIR) Nice to Have: • GCP Certified (Data Engineer / Architect) • Exposure to FHIR / HL7 or other healthcare data standards • Experience with vector DBs (Pinecone, FAISS) and LLM pipelines Do Not Apply If: • You have less than 12 years total experience • You are not leading architecture decisions or working independently with stakeholders • You’ve only used GCP tools but haven’t built full-scale data platforms