Data Architect

SR International Incorporation

Data Architect designing scalable, governed data architecture for the State of Ohio’s Department of Rehabilitation and Correction. Using Snowflake, cloud platforms, databases, and ETL/ELT for analytics.

Posted 8/13/2026full-timeRemote • Ohio • 🇺🇸 United StatesMid-LevelSenior💰 $54 - $60 per hourWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in data architecture, database design, and data modeling, with a strong focus on optimizing ETL/ELT processes and ensuring data quality and compliance across cloud and on-premises systems.

Highest-signal resume keywords

Data ArchitectureETL/ELT Process OptimizationSnowflake ExpertiseCloud Platforms (Azure, AWS)Database Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSQL ServerOracleETL ToolsAPIsIntegration FrameworksData WarehousingData Quality StandardsPerformance ManagementMetadata Management

Soft Skills

CollaborationGuidanceCommunication

Tools & Technologies

SnowflakeAzureAWS

Industry Keywords

Data Architecture StandardsData SecurityCompliance StandardsBig DataAI/ML Technologies

Tech Stack

Tools & technologies

AWSAzureCloudETLOracleRDBMSSQL

About the role

Key responsibilities & impact

Design, implement, and maintain the organization’s data architecture
Develop and maintain enterprise data models, schemas, and standards
Define data flows and integration patterns between systems, including Snowflake
Oversee logical and physical database design for performance and scalability
Collaborate with DBAs on optimization, capacity planning, and Snowflake performance management
Establish data quality, security, and compliance standards
Implement metadata management and maintain a data dictionary
Design and optimize ETL/ELT processes for data warehousing and analytics
Ensure interoperability between on-premises and cloud systems
Work with business analysts, developers, and stakeholders to translate requirements into data solutions
Provide guidance on data modeling best practices
Ensure data architecture meets performance SLAs and security requirements
Implement encryption, access controls, and audit mechanisms across traditional DBMS and Snowflake environments
Evaluate emerging cloud, big data, and AI/ML technologies
Recommend improvements to data architecture, including Snowflake optimization and new cloud capabilities

Requirements

What you’ll need

Available only to current Ohio residents
H1B, OPT, USC only
Experience in data architecture, database design, and data modeling
Experience with SQL Server, Oracle, or similar RDBMS
Experience with cloud platforms such as Azure and AWS
Experience with ETL tools, APIs, and integration frameworks
Expertise with modern cloud data warehouses such as Snowflake
Experience designing and optimizing ETL/ELT processes for data warehousing and analytics

Benefits

Comp & perks

Full-time remote work
Interviews via Microsoft Teams
Text message updates during the hiring process