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Data Platform & Database Developer

Premier Staffing Solution

Job Location:

Cold Spring, NY - USA

Monthly Salary: Not provided by the employer

Posted: 24 October 2026 (16 hours ago)

Application Deadline: 21 January 2027

Vacancies: 1 Vacancy

Department:

Manufacturing

Job Summary

Data Platform & Database Developer / Administrator

Department: Information Technology
Employment Type: Full-Time
Reports To: Director of IT

We are seeking a highly skilled and detail-orientedData Platform & Database Developer / Administrator to join a growing IT team. This hands-on technical role is responsible for designing developing maintaining and optimizing the data infrastructure that supports business applications reporting analytics and emerging AI technologies.

The ideal candidate brings strong expertise in SQL relational database design data integration and database administration along with a practical approach to solving complex data challenges.

This individual will collaborate with IT leadership application developers and cross-functional business teams to ensure critical business data is accurate secure accessible and efficiently integrated across systems.

This is an excellent opportunity for a technically driven professional who enjoys taking ownership of data platforms improving existing infrastructure and developing scalable solutions that support business growth.

Key Responsibilities

Database Development & Administration

Design develop maintain and optimize production databases and shared data environments.
Manage database architecture schemas indexing query performance and overall database reliability.
Monitor troubleshoot and resolve database performance issues to maintain system efficiency.
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 comprehensive technical documentation for database structures configurations and recovery processes.
Identify opportunities to modernize legacy databases and improve long-term maintainability.

Data Integration & Pipeline Development

Design build and maintain data integrations between 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 ensure reliable data movement across platforms.
Develop reusable data services database views and pipelines to support business applications and reporting tools.
Reduce manual data transfers duplicate data storage and inefficient integrations.
Troubleshoot integration issues and implement solutions to improve data accuracy and system reliability.

Data Quality Governance & Security

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 effective data governance.
Ensure data structures and processes align with organizational security and operational requirements.
Develop documentation and standardized processes to improve data transparency and reduce reliance on undocumented workflows.

Data Platform Modernization & Optimization

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 to support product information customer records operational data and other enterprise datasets.
Improve the accessibility and usability of data for internal applications reporting analytics and AI-driven solutions.
Identify opportunities to streamline data management processes and eliminate unnecessary duplication.
Collaborate with application development teams to provide reliable reusable data services.

Cross-Functional Collaboration & Technical Support

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.

Required Qualifications & Experience

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 with the ability to collaborate with technical and nontechnical stakeholders.
Ability to work independently manage priorities and learn unfamiliar technologies.

Education: 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.

Preferred Qualifications

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.

What Success Looks Like

Maintaining reliable secure and well-documented databases that support critical business operations.
Improving data accuracy accessibility consistency and overall quality across systems.
Reducing manual data reconciliation duplicate records and inefficient integration processes.
Developing scalable reusable data services that support internal applications reporting and analytics.
Successfully modernizing legacy data structures and improving long-term maintainability.
Ensuring critical data pipelines are monitored recoverable and operating efficiently.
Building a dependable data foundation that supports future technology and automation initiatives.

Ideal Candidate

The successful candidate is a technically strong analytical and resourceful data professional who enjoys solving complex problems and improving the systems businesses depend on.

They have a solid understanding of both database development and administration take ownership of technical solutions and recognize the importance of accurate accessible and secure data.

This individual thrives in a collaborative environment is comfortable working with evolving technologies and brings a proactive mindset to improving data infrastructure integration processes and overall operational efficiency.

Required Experience:

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