Data Platform & Database Developer

Premier Staffing Solution•Cold Spring, KY

About The Position

The Data Platform & Database Developer / Administrator is a hands-on technical role on the Information Technology team, responsible for designing, developing, maintaining, and optimizing data infrastructure supporting business applications, reporting, analytics, and emerging AI technologies. The role partners with IT leadership, application developers, system administrators, and business stakeholders to ensure business data is accurate, secure, accessible, and efficiently integrated across systems. The successful candidate will take ownership of data platforms, improve existing infrastructure, and develop scalable solutions that support business growth. The role covers production database development and administration; data integrations and pipelines; data quality, governance, and security; platform modernization and optimization; and cross-functional technical support. A degree in Computer Science, Information Technology, Data Engineering, or a related field is beneficial but not required; equivalent professional experience and demonstrated technical expertise will be considered.

Requirements

Strong proficiency in SQL and relational database design, with hands-on experience managing production databases.
Demonstrated experience with database development, administration, performance tuning, and troubleshooting.
Experience designing and maintaining data integrations using APIs, ETL/ELT pipelines, scheduled jobs, or comparable technologies.
Practical scripting skills for automating data movement, troubleshooting, and system integration.
Strong knowledge of data modeling, indexing, query optimization, and database architecture.
Experience implementing database security, access controls, backup and recovery procedures, and data-quality controls.
Familiarity with data validation, reconciliation, error handling, and monitoring processes.
Experience using source control, testing procedures, release management, and rollback strategies.
Ability to troubleshoot complex technical issues across multiple systems and data environments.
Strong documentation, analytical, and problem-solving skills.
Excellent communication skills and ability to collaborate with technical and nontechnical stakeholders.
Ability to work independently, manage priorities, and learn unfamiliar technologies.

Nice To Haves

A degree in Computer Science, Information Technology, Data Engineering, or a related field; equivalent professional experience and demonstrated technical expertise are also considered.
Experience working with enterprise resource planning (ERP) or warehouse management systems (WMS).
Familiarity with NetSuite, IntraOne, or Celigo integration platforms.
Experience with cloud-based data services, particularly Microsoft Azure.
Knowledge of Power BI and preparing structured, reliable datasets for business intelligence reporting.
Experience managing product information, master data, or enterprise data environments.
Understanding of distribution, inventory management, or warehouse operations.
Experience modernizing legacy databases, improving data governance, or implementing scalable data integration solutions.

Responsibilities

Design, develop, maintain, and optimize production databases and shared data environments.
Manage database architecture, schemas, indexing, query performance, and database reliability.
Monitor, troubleshoot, and resolve database performance issues.
Establish and maintain database security, access controls, and data integrity standards.
Define database backup and recovery requirements and collaborate with infrastructure teams to validate restoration procedures.
Maintain technical documentation for database structures, configurations, and recovery processes.
Identify opportunities to modernize legacy databases and improve long-term maintainability.
Design, build, and maintain integrations among enterprise applications, ERP systems, warehouse management systems, ecommerce platforms, and third-party services.
Develop and support APIs, ETL/ELT processes, scheduled data jobs, and automated imports and exports.
Implement data validation, logging, reconciliation, monitoring, and error-handling procedures.
Map data sources, system dependencies, and information flows to support reliable data movement across platforms.
Develop reusable data services, database views, and pipelines for business applications and reporting tools.
Reduce manual data transfers, duplicate data storage, and inefficient integrations.
Troubleshoot integration issues and implement solutions that improve data accuracy and system reliability.
Establish and maintain technical controls that improve data accuracy, completeness, consistency, and availability.
Identify and resolve duplicate, conflicting, or incomplete data records.
Collaborate with business stakeholders to establish data definitions, ownership responsibilities, and source-of-truth standards.
Implement data validation, traceability, and access controls to support data governance.
Ensure data structures and processes align with organizational security and operational requirements.
Develop documentation and standardized processes that improve data transparency and reduce reliance on undocumented workflows.
Evaluate and enhance existing data models, databases, and integration processes.
Support modernization initiatives involving legacy data systems and business-critical information.
Develop scalable data structures for product information, customer records, operational data, and other enterprise datasets.
Improve data accessibility and usability for internal applications, reporting, analytics, and AI-driven solutions.
Identify opportunities to streamline data management and eliminate unnecessary duplication.
Collaborate with application development teams to provide reliable, reusable data services.
Partner with IT leadership, application developers, system administrators, and business stakeholders to support organizational data needs.
Coordinate with technical teams to ensure database solutions integrate effectively with existing infrastructure.
Provide technical guidance on data architecture, integrations, and database best practices.
Support testing, version control, release management, and rollback procedures for database and pipeline changes.
Investigate and resolve complex data-related issues across interconnected systems.
Maintain operational documentation and support procedures to ensure long-term system reliability.