• Serve as an embedded SME and lead advisor for the data platform operations team supporting a production GCP environment • Drive operational readiness, including development and refinement of runbooks, SOPs, escalation procedures, and day-two support processes • Provide hands-on support for production incidents, including troubleshooting, root cause analysis (RCA), and long-term remediation • Monitor system health, logs, and performance metrics to identify risks and optimization opportunities • Lead PostgreSQL / AlloyDB performance tuning, including indexing strategies, query optimization, and maintenance practices • Provide guidance across GCP services including Dataflow, BigQuery, Pub/Sub, Cloud Functions, and Dataplex • Support release management, including database deployments and rollback strategies • Contribute to resiliency planning, including backup/recovery, disaster recovery (DR), and high availability (HA) • Develop and maintain operational documentation and technical artifacts aligned to production needs • Serve as the primary technical point of contact for client stakeholders, providing strategic database roadmaps and defending technical architectural decisions during program reviews

• Design, develop, and maintain robust data pipelines and ETL/ELT processes to ingest, transform, and load data from diverse structured and unstructured sources. • Build and optimize data models and data architectures to support analytics, reporting, and operational use cases. • Implement and maintain CI/CD pipelines for data engineering workflows, including data pipelines and scheduled jobs, using version control and automation tools. • Develop and deploy cloud-based data solutions, leveraging services such as object storage, serverless compute, and messaging/queueing services. • Collaborate with database administrators, analysts, and application teams to integrate data sources, design schemas, and support downstream data consumers. • Ensure data quality, integrity, and reliability through validation, monitoring, logging, and alerting. • Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption efforts. • Troubleshoot and resolve issues in development and production environments to maintain stable and reliable data pipelines. • Document data flows, pipelines, and technical solutions to support knowledge sharing and compliance requirements. • Stay current with emerging tools, technologies, and best practices in data engineering and cloud platforms.

• Utilize Veteran Affairs–specific data and analytics expertise to support cloud migration and ongoing operations including CCTS. • Work with CDW, VISTA, and Oracle Health data in support of VHA analytics service lines. • Apply expertise in CDW Metadata, data modeling, and CDW query optimization. • Conduct in‑depth data analysis to identify architectural migration patterns and resolve data or system dependencies. • Collaborate with physicians, nurses, group practice managers, VA ADPACS and CACs, OIT technical staff, CDW technical staff, and VA leadership at all levels. • Support technical architecture planning and ensure data integrity throughout migration processes. • Document technical processes and produce high‑quality reports and migration documentation. • Utilize experience with virtual and/or cloud‑based servers and applications to support system modernization.

• Collaborate with compliance experts, cybersecurity experts, and platform architects to ensure the data platform is efficient, secure, and highly available • Implement secure code development • Plan and execute logging improvements to achieve flexible unified audit across various technologies on the platform • Design and implement security event monitoring and alerting (Splunk) to ensure observability & performance of the platform in compliance with cybersecurity & governance requirements • Maintain production-grade infrastructure using Terraform or Ansible, ensuring consistent and automated resource provisioning. • Change platform network configuration (e.g. FQDN zone) to ensure compliance with the centralized requirements • Maintain & keep up-to-date security certificates • Manage automated CI/CD pipelines for data product