AZURE CLOUD Engineer; Lakehoues​/Databricks

• Employee Type FT Exempt

Radiology Associates is a trusted leader in diagnostic imaging and proudly recognized as a Breast Imaging Center of Excellence by the American College of Radiology. We are committed to delivering high-quality, patient-centered care in a supportive and professional environment. Join a collaborative, purpose-driven team making a real impact across our Florida communities through innovation in healthcare.

Position Overview: The Azure Cloud Engineer is responsible for the operational ownership, reliability, security, and continuous improvement of Radiology Imaging Associates’ (RIA) Azure-hosted data lakehouse and analytics stack (including Azure Databricks and downstream reporting/BI tools). This role owns ongoing lakehouse upkeep—environment administration, pipeline operations, monitoring, and new data ingestion—while also partnering across IT to deliver broader Azure cloud initiatives beyond the lakehouse (platform governance, automation, security improvements, and new cloud services).

The role works closely with internal stakeholders to ensure the platform remains stable, cost-effective, compliant (HIPAA), and scalable.

Essential Functions:
Platform operations, reliability & cloud delivery:
Own day-to-day operations of the Azure Lakehouse/Databricks platform and contribute to broader Azure cloud initiatives; monitor health, performance, security posture, and cost; manage incidents and coordinate resolution with internal IT teams.

• Azure & Databricks administration: Administer Azure Databricks work spaces (clusters/SQL warehouses, libraries, job scheduling, workspace permissions) and supporting Azure services (networking, Key Vault/secret management, storage) as applicable to the environment.
• Data pipelines & orchestration: Support ingestion and transformation jobs (batch/stream) across Bronze/Silver/Gold layers; manage job schedules, retries, SLAs, and exception alerting; perform root‑cause analysis for failed loads.
• Data quality, lineage, and governance (partnership): Partner with the BI team on data quality monitoring and reconciliation; support root‑cause analysis by tracing issues through ingestion, storage, and compute; maintain lineage/metadata documentation and help ensure governance controls and access policies are implemented consistently.
• Security, privacy, and HIPAA: Implement and maintain role‑based access controls (least privilege), audit logging, and PHI/PII handling controls (including de‑identification where required); assist with security reviews and evidence collection.
• Release & change management: Coordinate change requests, regression testing, and deployments for pipelines, notebooks, and semantic layers; maintain runbooks and standard operating procedures.
• BI/reporting support: Support connectivity and performance for analytics consumption tools (e.g., Power BI); troubleshoot refresh failures, dataset issues, and user access problems.
• Backup, recovery, and continuity: Participate in backup/restore planning, disaster recovery procedures, and periodic testing aligned to organizational requirements.
• Azure cloud initiatives beyond the lakehouse: Deliver and support ongoing Azure improvements such as landing‑zone/guardrails alignment, networking and private connectivity updates, identity and access enhancements, monitoring/alerting expansion, cost optimization, and enablement of additional Azure services used by the organization.
• Automation & Infrastructure as Code (IaC): Implement and maintain repeatable deployments and configuration using tools such as Terraform and/or Bicep; automate operational tasks (e.g., environment provisioning, monitoring, access reviews) using scripting (Power Shell/Python) where appropriate.

Preferred Qualifications:

• Direct experience with Azure Databricks administration, including cluster policies, job orchestration, and Databricks SQL.
• Experience with Delta Lake/lakehouse patterns and Bronze/Silver/Gold architectures.
• Experience supporting Power BI (gateways, datasets, refresh troubleshooting, performance tuning) and/or semantic modeling.
• Familiarity with healthcare data environments and HIPAA-related…