Advisor – Data Platform Architect

OhioHealth

. Define and maintain the enterprise data platform strategy aligned with OhioHealth's digital transformation roadmap .

Posted 11/4/2026full-timeRemote • Ohio • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing cloud-based data platforms, with a strong focus on data architecture, modernization strategies, and advanced analytics capabilities. Proven ability to lead complex data initiatives while ensuring security, compliance, and operational efficiency.

Highest-signal resume keywords

Cloud-Based Data Platform DesignData Architecture ModernizationMicrosoft Azure ExpertiseData Governance and ManagementExecutive Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData EngineeringCloud MigrationETL/ELT ProcessesData WarehousingReal-Time Data ProcessingData Integration FrameworksData ModelingDistributed Data ArchitecturesMachine Learning

Soft Skills

Stakeholder ManagementStrategic ThinkingInfluencing SkillsPartnership BuildingCommunication Skills

Tools & Technologies

Microsoft AzureAWSGoogle CloudData LakesData LakehousesAnalytics EcosystemsAutomation ToolsMetadata PlatformsCloud ServicesPlatform Engineering Practices

Industry Keywords

Enterprise Data ManagementDigital TransformationData QualityData StewardshipCybersecurity StandardsComplianceAdvanced AnalyticsGenerative AIOperational EfficiencyPatient Outcomes

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityETL

About the role

Key responsibilities & impact

Define and maintain the enterprise data platform strategy aligned with OhioHealth's digital transformation roadmap
Lead architectural design of modern cloud-based data platforms supporting analytics, reporting, machine learning, artificial intelligence, and operational data products
Establish target-state architectures and multi-year modernization roadmaps for data warehouses, data lakes, data lakehouses, streaming platforms, and real-time analytics
Lead complex, multi-year data modernization initiatives involving cloud migration, platform consolidation, legacy system retirement, and data architecture transformation
Develop strategies for migrating and modernizing enterprise data assets while minimizing operational disruption
Drive adoption of cloud-native capabilities, automation, platform engineering practices, and scalable architecture patterns
Design scalable architectures leveraging cloud services, data integration frameworks, metadata platforms, and analytics ecosystems
Establish architecture standards, design principles, and engineering best practices
Ensure platform reliability, resiliency, security, observability, and performance
Partner with cybersecurity, governance, and compliance teams to establish secure data platform standards
Promote metadata management, master data management, data quality, and data stewardship practices
Serve as a strategic thought leader and principal advisor for enterprise data platform decisions and investments
Influence executive leaders, technology teams, and business stakeholders regarding data strategy and modernization priorities
Translate complex technical concepts into clear business outcomes and value propositions
Build partnerships with vendors, cloud providers, and consulting partners
Establish foundational data capabilities for advanced analytics, generative AI, machine learning, and intelligent automation
Help OhioHealth create a modern, cloud-native data ecosystem that improves patient outcomes, caregiver experiences, operational efficiency, and financial performance

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
6–8 years of experience in data architecture, data engineering, platform engineering, or enterprise data management
7+ years of experience designing and implementing cloud-based data platforms
Demonstrated success leading large-scale, multi-year data modernization and transformation initiatives
Deep expertise in Microsoft Azure, AWS, or Google Cloud
Expert understanding of data warehousing, data lakes and lakehouses, data integration and ETL/ELT, metadata management, data governance, data modeling, real-time data processing, and distributed data architectures
Experience developing enterprise architecture roadmaps and target-state strategies
Strong executive communication and stakeholder management skills

Benefits

Comp & perks

Full-time schedule
Day shift
40 scheduled weekly hours