Senior Platform Developer

Job Title: Senior Platform Developer [Lead Database Developer]

Work Location: Remote

The Senior Database Architect / Lead Data Engineer will be responsible for the end-to-end design, optimization, and governance of enterprise-grade relational database systems supporting complex regulatory platforms, including RCRAInfo and UIC program data. This role plays a critical part in ensuring data integrity, scalability, auditability, and long-term preservation of mission-critical environmental compliance data across all system modules.

The position requires deep expertise in relational database architecture, schema design, performance optimization, ETL processes, and data lifecycle management, with a strong emphasis on regulatory compliance, historical data preservation, and migration readiness.

• Lead the design and implementation of relational database schemas supporting RCRA and UIC master data domains, ensuring accuracy, consistency, and extensibility.
• Architect and maintain schemas supporting all eight (8) RCRAInfo functional modules, ensuring seamless integration and data interoperability across modules.
• Apply advanced data normalization techniques while balancing performance and reporting needs.
• Design migration-ready schemas to support future system modernization, platform upgrades, and cloud or hybrid deployments.

• Define and enforce data validation rules, referential integrity constraints, and business logic at the database level.
• Implement comprehensive audit trails and change history mechanisms to meet regulatory, legal, and compliance requirements.
• Ensure proper handling of historical and archived data, maintaining accessibility while optimizing storage and performance.
• Support data governance standards, including lineage, traceability, and consistency across environments.

• Perform advanced query tuning, indexing strategies, and execution plan analysis to ensure optimal system performance.
• Design and optimize stored procedures, triggers, and database functions using T-SQL and/or PL/pgSQL.
• Proactively identify and remediate performance bottlenecks related to large datasets, historical records, and complex joins.
• Support high-volume transactional and reporting workloads with scalable database solutions.

• Design, develop, and optimize ETL workflows using SSIS or equivalent ETL tools to support data ingestion, transformation, and synchronization.
• Collaborate with application, integration, and reporting teams to ensure reliable and efficient data pipelines.
• Support legacy data migration, ensuring data accuracy, completeness, and reconciliation during system transitions.
• Implement error handling, logging, and monitoring for all ETL and data movement processes.
• Work closely with application developers, architects, QA teams, and business stakeholders to translate requirements into robust data solutions.
• Produce detailed technical documentation, including data models, schema definitions, ETL designs, and operational procedures.
• Provide guidance and mentorship to junior developers and database analysts.
• Participate in design reviews, architecture boards, and technical governance forums.

• Strong expertise in relational database design for complex regulatory systems (RCRA & UIC preferred).
• Advanced knowledge of data normalization, indexing, and query optimization.
• Hands‑on experience implementing audit trails, change history, and archival strategies.
• Expertise in data validation rules, constraints, and database‑level business logic.
• Experience designing migration‑ready and future‑proof schemas.
• Strong proficiency in stored procedures, triggers, and ETL optimization.

• SQL Server and/or PostgreSQL
• SSIS or equivalent ETL tools
• T‑SQL and/or PL/pgSQL
• Advanced indexing strategies and performance tuning techniques

• Experience working with RCRAInfo, environmental compliance systems, or regulatory data platforms.
• Familiarity with public sector or government data systems.
• Knowledge of data retention, records management, and compliance standards.
• Experience supporting large‑scale data modernization or system migration initiatives.
• Strong analytical, problem‑solving, and communication skills.
• Ability to operate independently in a complex, multi‑stakeholder environment.
• Strong attention to detail and commitment to data quality and accuracy.
• Excellent documentation and communication skills.
• Proven ability to balance performance, compliance, and maintainability.