Data Platform & Database Developer

Job Description

Job Requirements

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.