Senior Solutions Architect: Data & Lakehouse

The Ohio State University Wexner Medical Center; Columbus (OH); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Retirement plan options with generous

Health insurance including dental, viz

Paid vacation and sick leave, with PT/

Public Service Loan Forgiveness

And much more

Job summary

The Ohio State University Wexner Medical Center seeks a Solutions Architect to lead enterprise data and analytics, defining target-state architectures, standards, and guardrails for secure, scalable data platforms that support analytics, reporting, and AI/ML.

You will collaborate with clinical and operational leaders, analytics, governance, security, and platform teams to translate data requirements into architecture, oversee the data lifecycle, and establish reusable reference architectures.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 6 years of relevant experience required; 8–12 years preferred in data architecture, data warehousing, or analytics engineering.
• Experience designing enterprise data architectures and scalable data solutions across multiple systems.
• Experience with Azure cloud data services and Databricks or similar platforms.

Responsibilities

• Define enterprise architecture, reference patterns, and standards for data ingestion and integration (ETL/ELT).
• Evolve lakehouse architecture using Azure and Databricks, including Delta Lake patterns and cost management.
• Establish medallion architecture and data product design for scalable data platforms.
• Lead architecture reviews and ensure security, privacy, and governance across data platforms.

Skills

SQL

Python

dbt

Lakehouse

Data modeling

Data warehousing

Azure cloud

Databricks

Education

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field

Tools

Azure

Databricks

dbt

GitHub Actions

Azure DevOps

Job description

The Ohio State University Wexner Medical Center seeks a Solutions Architect to lead enterprise data and analytics, defining target-state architectures, standards, and guardrails for secure, scalable data platforms that support analytics, reporting, and AI/ML.

You will collaborate with clinical and operational leaders, analytics, governance, security, and platform teams to translate data requirements into architecture, oversee the data lifecycle, and establish reusable reference architectures.