Advisor – Data Platform Architect

This is a fully remote position, open to applicants in Ohio.

📋 Description

• Develop and uphold the strategy for the enterprise data platform in alignment with OhioHealth's digital transformation roadmap.

• Oversee the architectural design of modern cloud-based data platforms that facilitate analytics, reporting, machine learning, artificial intelligence, and operational data products.

• Create target-state architectures and multi-year modernization plans for data warehouses, data lakes, data lakehouses, streaming platforms, and real-time analytics.

• Manage comprehensive, multi-year data modernization projects that include cloud migration, platform consolidation, legacy system retirement, and transformation of data architecture.

• Formulate approaches for migrating and modernizing enterprise data assets while reducing operational disruptions.

• Propel the adoption of cloud-native features, automation, platform engineering methodologies, and scalable architectural patterns.

• Design scalable architectures utilizing cloud services, data integration frameworks, metadata platforms, and analytics ecosystems.

• Set architecture standards, design principles, and engineering best practices.

• Guarantee the reliability, resiliency, security, observability, and performance of the platform.

• Collaborate with cybersecurity, governance, and compliance teams to create secure data platform standards.

• Advocate for metadata management, master data management, data quality, and data stewardship best practices.

• Act as a strategic thought leader and principal advisor on enterprise data platform decisions and investments.

• Influence executive leaders, technology teams, and business stakeholders concerning data strategy and modernization priorities.

• Convert complex technical ideas into straightforward business outcomes and value propositions.

• Establish partnerships with vendors, cloud service providers, and consulting partners.

• Build foundational data capabilities for advanced analytics, generative AI, machine learning, and intelligent automation.

• Assist OhioHealth in developing a modern, cloud-native data ecosystem that enhances patient outcomes, caregiver experiences, operational efficiency, and financial performance.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.

• 6–8 years of experience in data architecture, data engineering, platform engineering, or enterprise data management.

• Over 7 years of experience in designing and implementing cloud-based data platforms.

• Proven success in leading large-scale, multi-year data modernization and transformation projects.

• Extensive expertise in Microsoft Azure, AWS, or Google Cloud.

• In-depth 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 in developing enterprise architecture roadmaps and target-state strategies.

• Strong skills in executive communication and stakeholder management.

🏝️ Benefits

• Full-time schedule.

• Day shift.

• 40 scheduled weekly hours.