Senior Database Administrator

About the role

Exiger transforms supply chains into a strategic advantage, advancing our mission to make the world a safer and more transparent place to succeed. Our AI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging proprietary data and advanced AI to surface risk, automate compliance, and unlock efficiencies and cost savings to strengthen long-term resilience. Trusted by 550+ global customers, including Fortune 500 companies and U.S. government agencies, Exiger is a recognized, award-winning leader in supply chain AI and a FedRAMP authorized provider to the federal government. The Senior Database Administrator role is responsible for architecting and operating the data foundation that powers 1Exiger, owning the end-to-end lifecycle management of transactional, analytical, and AI workloads. This position requires hands-on responsibility for performance, scale, high availability, backup, disaster recovery, and multi-region strategies across cloud and air-gapped environments. You will directly enable vector search, embeddings, and RAG pipelines while ensuring strict compliance with FedRAMP High and federal data handling standards. The role involves close collaboration with security, AI/ML, and platform teams to support product innovation and operational resilience. You will mentor engineers and DBAs on scalable, cost-aware, and compliance-ready data practices. This is not a traditional DBA role; it is a foundational position shaping the future of Sovereign AI and data infrastructure at Exiger.

What you'll do

You will architect, operate, and optimize Exiger's cloud data platforms across AWS commercial, AWS GovCloud, and future IL5/IL6 air-gapped environments. You will own performance, scale, high availability, backup, disaster recovery, and multi-region strategies across transactional, analytical, and AI workloads. You will build and support AI-native data infrastructure for 1Exiger, including vector search, embeddings, RAG pipelines, inference telemetry, evaluation data, and agent memory. You will ensure data security, encryption, access control, auditability, lineage, retention, and CUI handling meet FedRAMP High and federal customer requirements. You will partner with security teams on POA and AMP remediation, vulnerability management, control evidence, and continuous monitoring. You will drive cost optimization, modernization, and consolidation across legacy and cloud data estates using FinOps and open data architecture principles. You will promote DevOps best practices, including infrastructure as code, automated schema migrations, CI/CD integration, and feature-flag-gated releases. You will mentor engineers and DBAs on scalable, cost-aware, compliance-ready data architecture.

Requirements

You bring 8+ years of database administration experience with increasing ownership of cloud data architecture. You have deep expertise in cloud database design, performance tuning, and operations on AWS, including RDS and Aurora. You have hands-on implementation and optimization of PostgreSQL, MySQL, and SQL Server in both commercial and government cloud environments. You have extensive experience with analytics and lakehouse platforms such as Snowflake, S3, Iceberg, Trino, and Athena. You have a strong background building and operating AI data infrastructure, including vector search, pgvector, embeddings, and RAG pipelines. You demonstrate the ability to secure, audit, and govern regulated data, including CUI, with strict adherence to FedRAMP High controls. You have experience with Terraform or Pulumi for infrastructure as code and GitLab or GitHub pipelines for CI/CD. You have a proven commitment to DevOps practices, automated schema migrations, and feature-flag-driven releases.

Technical Environment

Cloud platforms include AWS commercial, AWS GovCloud, and future IL5/IL6 air-gapped environments. Databases include PostgreSQL, RDS/Aurora PostgreSQL, MySQL, and SQL Server. Analytics and lakehouse platforms include Snowflake, S3, Iceberg, Trino, and Athena. AI data infrastructure includes pgvector, OpenSearch, vector search, embeddings, RAG, and inference telemetry. Infrastructure and release tools include Terraform, Pulumi, GitLab/GitHub pipelines, and OpenFeature. Observability tools include Grafana. Data encompasses high-volume, regulated datasets, including CUI and federal supply chain intelligence.

Nice to have

No additional preferred items are specified beyond the core requirements and technical environment.

Practical notes

Location options include Jersey City, New Jersey, United States; McLean, Virginia, United States; and Richmond, Virginia, United States. Engagement details are referenced from source materials. Compensation, hours, travel, visa requirements, and deadlines are not specified in this source beyond the listed locations and the standard terms applicable to the role.