Oversee backup/restore operations, failover strategies, and high availability configurations.
Manage schema changes, deployments, and environment synchronization across dev, test, and prod.
Partner with the Data Engineering team on efficient ingestion and transformation patterns to SQL-based systems.
Monitor capacity, costs, and system health for all SQL and storage resources in Azure.
Administer Azure Data Factory including linked services, integration runtimes, pipelines, triggers, and parameterized workflows.
Implement enterprise standards for logging, error handling, retries, alerting, and operational monitoring.
Ensure secure configuration and compliance for all data movement operations, including PII/PHI safeguards.
Establish and enforce standards for data access, identity management, secrets rotation, key management, and auditability.
Participate in Data Governance initiatives including metadata management, lineage tracking, and catalog standardization.
Build documentation for platform configurations, processes, and operational playbooks.
Evaluate new Azure features and provide recommendations for modernization and cost efficiency.
Monitor platform reliability, SLAs, performance, and uptime across all Azure data services.
Troubleshoot and resolve platform-wide issues including job failures, performance bottlenecks, and connectivity disruptions.
Partner with InfoSec to ensure compliance with CAQH security policies and healthcare data regulations, including but not limited to HITRUST security access reviews.
Support agile development teams by managing environments, access, and deployment pipelines.
Requirements
5–8 years of experience as an Azure Platform Administrator, Cloud Engineer, or Database Administrator
Hands-on experience managing Databricks environments at scale
Experience supporting EDW or analytics platforms in Azure or hybrid environments
Experience building and managing CI/CD pipelines for data workloads
Healthcare or regulated data experience strongly preferred
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience