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