Sr. Storage and Data Engineer

Ochsner Health is a leading healthcare organization committed to serving and innovating in patient care. They are seeking a Sr. Storage and Data Engineer to lead enterprise-scale storage migrations to cloud platforms, manage long-term storage operations, and ensure data integrity across hybrid cloud environments.

Responsibilities:

• Lead planning and execution of enterprise scale storage migrations with minimal downtime
• Use tools including AWS DataSync NetApp SnapMirror Azure Data Box Dell EMC XCP and vendor native replication technologies
• Execute cutover planning validation and rollback procedures for clinical and enterprise workloads
• Ensure migration activities align to resiliency compliance and audit requirements
• Partner with Cloud Architecture and Application teams to coordinate workload transitions and data validation
• Own capacity performance lifecycle and daily operations of all storage hosted in Rackspace private cloud
• Manage storage presented to Epic EMR platforms and related workloads
• Maintain replication protection and multi site resilience within the Rackspace managed environment
• Optimize storage configurations for cost performance and long term maintainability
• Serve as the operational owner for Dell PPDM and Data Domain platforms
• Manage backup strategy scheduling and restore testing across on premises Rackspace AWS and Azure workloads
• Ensure all clinical and enterprise systems remain protected during and after migration activities
• Validate backup integrity perform periodic restores and maintain compliance with retention policies
• Engineer cloud native storage solutions including AWS S3 Azure Blob Azure Data Lake FSx for NetApp ONTAP and Azure Files
• Support EMR storage patterns in AWS including S3 and EBS
• Support imaging workloads and large media sets in Azure including Blob tiers and ADLS Gen2
• Design and operate cross cloud ingestion and replication patterns
• Align architecture between Dell storage NetApp ONTAP and cloud storage services
• Monitor performance availability capacity and lifecycle of all storage platforms across Rackspace AWS Azure and on premises
• Conduct regular DR validation including failover testing replication health and recovery runbook updates
• Manage patching firmware and configuration governance for all storage systems
• Maintain compliance with HIPAA HITRUST and internal security controls
• Implement tagging auditing logging and cost governance across multi cloud storage footprints
• Support existing Dell PowerScale PowerStore PowerMax and Pure Storage platforms
• Lead planning for future NetApp ONTAP adoption and cloud integration
• Ensure smooth transitions from legacy to modern platforms with no clinical disruption
• Maintain consistent operational standards across diverse storage technologies
• Prepare storage layers for AI analytics and RAG workloads
• Support AI platforms including Amazon Bedrock SageMaker Azure OpenAI Service and Azure AI Studio
• Collaborate with AI and Data teams to optimize storage for embeddings parquet data and large unstructured datasets

Requirements:

• Extensive experience leading enterprise storage migrations using DataSync SnapMirror Azure Data Box XCP and similar tools
• Strong experience operating storage in Rackspace private cloud or similar environments
• Expertise with NetApp ONTAP Dell PowerScale PowerStore PowerMax Pure Storage and replication technologies
• Proficiency with AWS S3 Azure Blob Azure Data Lake FSx and cloud storage services
• Experience supporting Snowflake storage usage and cloud based ingest patterns
• Strong Dell PPDM and Data Domain administration experience
• Experience designing and validating DR recovery patterns for large storage environments
• Competency in Python SQL infrastructure as code and automation tooling
• Knowledge of IAM encryption key management secure connectivity and audit controls
• Bachelor degree in Computer Science Engineering or equivalent experience
• Experience supporting storage for EMR workloads in AWS
• Experience supporting imaging workloads and large media sets in Azure
• Knowledge of AI dataset preparation vector storage and analytics pipelines
• Healthcare data experience