Architecture Databases RDBMS ETL API Architect (Jobs in Columbus, OH)   Requirement id 158878 Job title Architect Job location in Columbus, OH Skills required SQL Analyst, Architecture, Databases, RDBMS ETL API Open Date 12-Aug-2026 Close Date Job type Contract Duration 10 Months Compensation DOE Status requirement --- Job interview type --- Apply    Email Recruiter: coolsoft Job Description Architect: SQL Analyst, Architecture, Databases, RDBMS ETL API Start Date: 08/31/2026 End Date: 06/30/2027 Submission Deadline: 08/17/2026 Client info: DRC Note: *Position is full-time remote. *Interviews will be via Microsoft Teams Description: The Data Architect is responsible for designing, implementing, and maintaining the organizations data architecture to ensure data integrity, scalability, and accessibility. This role defines how data is stored, consumed, integrated, and managed across systems, aligning with business objectives and technology standards. The architect will also leverage modern cloud data platforms, including Snowflake, to support advanced analytics and scalable data solutions. Key Responsibilities: Data Architecture Design Develop and maintain enterprise data models, schemas, and standards. o Define data flows and integration patterns between systems, including cloud-native platforms such as Snowflake. Database Management: Oversee logical and physical database design for performance and scalability. o Collaborate with DBAs on optimization, capacity planning, and Snowflake performance management. Data Governance: Establish data quality, security, and compliance standards. o Implement metadata management and maintain a data dictionary. Integration & ETL: Design and optimize ETL/ELT processes for data warehousing and analytics, with hands-on experience using Snowflakes ingestion and transformation capabilities. o Ensure interoperability between on-prem and cloud systems. Collaboration: Work with business analysts, developers, and stakeholders to translate requirements into data solutions. o Provide guidance on data modeling best practices. Performance & Security : Ensure data architecture meets performance SLAs and security requirements. o Implement encryption, access controls, and audit mechanisms across both traditional DBMS and Snowflake environments. Innovation: Evaluate emerging technologies (cloud, big data, AI/ML) for adoption. o Recommend improvements to existing data architecture, including Snowflake optimization and new cloud capabilities.   Call 502-379-4456 Ext 100 for more details. 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