Lead Database Engineer
Data Store Strategy, Architecture, and Standards
Define and maintain the strategy, standards, and operating model for relational + non-relational data stores supporting Rite-Hite ONE.
Establish practical standards for data modeling, schema design, migrations, indexing, query patterns, retention, backup, recovery, and lifecycle management.
Guide architecture decisions and service-to-data-store integration patterns to improve scalability, consistency, and maintainability.
Recommend platform choices and evolution paths for operational databases and analytics workloads (e.g., BigQuery or equivalent), balancing usability, performance, and cost.
Reliability and Operations
Define standards for HA, backup/restore, disaster recovery, failover, and business continuity for production systems.
Establish monitoring/alerting, health checks, operational dashboards, and incident response practices for data stores.
Lead troubleshooting of complex performance, stability, capacity, and recoverability issues and drive corrective actions.
Partner with DevOps/platform teams to automate provisioning, migrations, maintenance, and release workflows.
Security, Data Protection, and Trust
Define and enforce secure practices for access control, encryption, secrets handling, logging, and administrative operations.
Establish controls for protecting sensitive and business-critical data across environments (least privilege, segregation of duties, backup protection).
Partner with security/compliance stakeholders to support audit readiness (SOC 2 / ISO 27001), including evidence collection for access, change management, logging, backups, and recovery.
Performance and AI-Enabled Automation
Establish performance management practices: query optimization, indexing strategy, workload review, configuration tuning, and capacity planning.
Apply AI-assisted tools to improve troubleshooting, analysis, documentation, and operational efficiency—ensuring outputs are reviewed, validated, and secure.
Drive improvements that reduce manual effort, increase consistency, and strengthen production readiness across database-backed services.
Collaboration, Enablement, and Documentation
Collaborate with engineering, product, architecture, DevOps, IT, and security teams to align data-store decisions with platform needs.
Document standards, architecture decisions, runbooks, recovery expectations, and operational guidance.
Mentor engineers on data modeling, query efficiency, migrations, and secure data handling.
Supervisory Responsibilities
No direct reports initially. Provides technical leadership and serves as the primary authority for data-store strategy, standards, and operational practices across Rite-Hite ONE.
Qualifications
- Bachelor’s degree in a related technical field (or equivalent practical experience).
- 7+ years in database engineering/DBA/data platform roles supporting production systems.
- Strong foundations in data modeling, SQL, performance tuning, reliability, backup/restore, and disaster recovery.
- Experience establishing standards and operating practices in a growing product/platform environment.
- Strong collaboration and communication skills.
Preferred Qualifications
- Experience with GCP managed data services and analytics warehouses (e.g., BigQuery).
- Experience with non-relational data stores (document, key-value, time-series, etc.).
- Experience integrating data-store changes into CI/CD and audited environments (SOC 2 / ISO 27001).
- Experience using AI-assisted engineering tools responsibly in production environments.