Job Title: DBA 4 – Senior Data Platform Architect & Governance Specialist

Job Code: OH 815210

Client: State of Ohio

Location: Franklin County, Ohio

Duration: Through 06/30/2027

Work Arrangement: 100% Remote – Ohio Candidates Only

Interview Process: Remote Interviews

Travel: Required as needed for meetings

Closing Date: 11/12/2026 at 3:00 PM

Position Overview

The State of Ohio is seeking an experienced Senior Data Platform Architect & Governance Specialist (DBA 4) to design, develop, and maintain enterprise data warehouse, data lake, and Lakehouse solutions.

The selected candidate will lead the development of automated ELT pipelines, implement Snowflake-based data engineering solutions, and establish scalable Medallion Architecture (Bronze, Silver, Gold) data platforms.

This role also focuses on advanced data modeling, data migration, enterprise data governance, metadata management, data lineage, and data quality using platforms such as Snowflake and Alation.

The candidate will collaborate with IT architecture teams, business stakeholders, and technical teams to establish enterprise data standards, optimize data platforms, and support modern business intelligence initiatives.

Required Qualifications

• 5+ years of hands-on experience designing and implementing enterprise data warehouses, data lakes, or Lakehouse solutions.
• Expert-level SQL skills, including query optimization, performance tuning, and complex analytical dataset development.
• Experience developing automated ELT pipelines using Python, SQL, and modern cloud data platforms.
• Hands-on experience implementing and supporting Snowflake-based data engineering, data warehousing, and analytics solutions.
• Experience designing and managing Medallion Architecture (Bronze, Silver, Gold) data platforms.
• Advanced experience with dimensional data modeling, including fact tables, dimensions, star schemas, and semantic layers.
• Experience integrating structured and semi-structured data, including APIs, JSON, and file-based ingestion.
• Hands-on experience administering enterprise data catalog and governance platforms such as Alation.
• Experience implementing data governance, metadata management, data lineage, and data quality frameworks.
• Experience executing data migration and modernization initiatives.
• Ability to work independently and lead complex, cross-functional data architecture and engineering initiatives.
• Excellent communication and collaboration skills.

Key Responsibilities

1. ELT Pipeline Engineering & Automation
   • Design, develop, and maintain automated ELT pipelines using SQL, Python, and modern cloud data technologies.
   • Implement incremental data processing across Medallion Architecture layers.
   • Optimize SQL queries, compute resources, and cluster performance.
   • Develop robust solutions to migrate legacy databases and files into automated Lakehouse pipelines.
2. Data Modeling & Cloud Data Architecture
   • Design and implement scalable, secure Medallion Data Architecture across cloud environments.
   • Establish standards for data ingestion, schemas, and file formats such as Iceberg and Parquet.
   • Design logical and physical data models, including fact tables, dimensions, and business entity schemas.
   • Build data models that support structured and semi-structured data, including JSON and API payloads.
   • Develop semantic layers to support self-service business intelligence and reporting.
3. Data Governance & Metadata Management
   • Manage and maintain the Alation Data Catalog.
   • Ensure tables, schemas, and views across Bronze, Silver, and Gold layers are indexed, classified, and tagged.
   • Establish and monitor end-to-end data lineage from source applications to reporting assets.
   • Implement data validation, testing, and quality frameworks.
   • Support enterprise data stewardship and governance standards.
4. Data Migration & Business Intelligence
   • Design and implement data migration and modernization solutions.
   • Establish standards for secure data exchange between systems.
   • Design and implement data warehouses and data marts.
   • Develop enterprise reporting, management dashboards, scorecards, and analytical applications.
   • Replicate and transform data to support business intelligence requirements.
   • Define data warehouse and BI architecture standards.
5. Documentation & Mentoring
   • Develop technical documentation covering pipelines, architecture, data modeling, and migration processes.
   • Establish enterprise technical standards and best practices.
   • Mentor peers and junior technical staff through formal instruction and documentation.
   • Collaborate with business stakeholders and technical teams on architecture and engineering initiatives.

Highly Desired Skills

• Experience with Snowflake cloud-native architecture, including:
• Snowflake Warehouses
• Snowpark
• Streams and Tasks
• Secure Data Sharing
• Familiarity with data modeling tools such as ER/Studio.
• Experience with modern data modeling methodologies.
• Experience defining enterprise data architecture standards and best practices.
• Experience leading cross-functional data architecture and engineering initiatives.
• Bachelor's degree in Data Analytics, Computer Science, Information Technology, Computer Engineering, or a related field.

Nice-to-Have Skills

• Experience with dbt.
• Experience with enterprise data cataloging, metadata management, and data lineage tools such as Alation.
• Strong work ethic, punctuality, and time-management skills.

This is a remote position.