> Markdown version of [/jobs/ext/2525232-senior-database-security-engineer](https://www.wearedevelopers.com/jobs/ext/2525232-senior-database-security-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Database Security Engineer

- **Company:** American Express Company
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Audit Trail, Cloud Computing, Cloud Engineering, Cluster Analysis, Cyber Security, Computer Programming, Databases, Information Engineering, Extract Transform Load (ETL), Data Security, Database Security, Identity and Access Management, Python (Programming Language), NoSQL, Software Deployment, Software Engineering, Data Classification, Delivery Pipeline, Large Language Models, Spring-boot, Cyber Threat Analysis, Data Management, Virtual Agents, Database Monitoring, Restful APIs
- **Published:** August 5, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-database-security-engineer-phoenix-az-usa-58834187

## About the Role

aaaaax_ emerging AI, database, and cloud technologies to enhance access management * Integrate DSPM platforms to enrich access management with data classification and metadata * Serve as SME for strategic initiatives from requirements to production deployment * Build AI agent-based automation to correlate events across security data sources and detect anomalies * Create AI agent-based workflows to simplify database access attestation processes * Develop risk-scoring models combining user behavior, data sensitivity, privileges, access patterns, and threat intel * Automate workflows to reduce manual investigations and improve response times * Design dashboards and executive reports for monitoring coverage, risk posture, and program maturity Tasks * 7+ years of software engineering in database security or related field * 3+ years of experience with GenAI, LLMs, and agentic workflows * Strong programming skills in Python, Java, NoSQL, REST API, Springboot * Experience building AI agents using
LangGraph, LangChain or equivalent * Experience with Model Context Protocol (MCP) for tool integration and A2A collaboration * Exposure to implementing Agentless Database activity monitoring * Solid understanding of data engineering principles including ETL, data management, and vector databases * Strong understanding of anomaly detection, classification, and clustering * Hands-on experience implementing data security controls in AWS and GCP * Experience with large-scale log, telemetry, and security datasets Key requirements *

## Description

Experteer Overview In this role you will design and scale a next-generation Data Access Management program across relational, NoSQL, cloud-native, and emerging databases. You will partner with security, engineering, and operations teams to implement DAM at scale and to leverage AI-enabled automation for faster investigations and attestation. You'll build pipelines, dashboards, and risk models to elevate data security, governance, and monitoring. This is a high-impact opportunity to shape data security at a Fortune 100 company and drive innovation in AI-driven security workflows. Compensation / Benefits * Expand database activity and access management coverage to new databases and cloud data services * Design and implement custom DAM solutions for various database platforms * Develop scalable pipelines to ingest and analyze audit logs, cloud logs, and security telemetry * Partner with security operations, database engineering, cloud engineering, and application teams to scale DAM * Evaluate emerging AI, database, and cloud technologies to enhance access management * Integrate DSPM platforms to enrich access management with data classification and metadata * Serve as SME for strategic initiatives from requirements to production deployment * Build AI agent-based automation to correlate events across security data sources and detect anomalies * Create AI agent-based workflows to simplify database access attestation processes * Develop risk-scoring models combining user behavior, data sensitivity, privileges, access patterns, and threat intel * Automate workflows to reduce manual investigations and improve response times * Design dashboards and executive reports for monitoring coverage, risk posture, and program maturity Tasks * 7+ years of software engineering in database security or related field * 3+ years of experience with GenAI, LLMs, and agentic workflows * Strong programming skills in Python, Java, NoSQL, REST API, Springboot * Experience building AI agents using LangGraph, LangChain or equivalent * Experience with Model Context Protocol (MCP) for tool integration and A2A collaboration * Exposure to implementing Agentless Database activity monitoring * Solid understanding of data engineering principles including ETL, data management, and vector databases * Strong understanding of anomaly detection, classification, and clustering * Hands-on experience implementing data security controls in AWS and GCP * Experience with large-scale log, telemetry, and security datasets Key requirements *


## Related Videos

- [Database Magic behind 40 Million operations/s](https://www.wearedevelopers.com/videos/748-database-magic-behind-40-million-operations-s)
- [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases)
- [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis)
- [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas)
- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)
- [The New AI Security Stack: Observe, Detect, Protect](https://www.wearedevelopers.com/videos/100302-the-new-ai-security-stack-observe-detect-protect)

## Related Articles

- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)