Lead Cybersecurity - Identity Analytics Engineer

Lead Cybersecurity: IAM Data Fabric SME 

Location: Bangalore (Onsite 5 days/week) or should be willing to relocate to Bangalore or Hyderabad, collaboration with US team required. 

Typical working hours: 1PM to 10 PM IST 

About the Team 

We are launching AT&T’s greenfield Identity Data Fabric program—uniting human, machine, and all identities across the organization to create a single, comprehensive, attribute-rich profile trusted by any application and security control, in real time. We work at an enterprise scale with the latest in identity tech tools like Radiant Logic (IDDF/IDDM/IDA) and similar. 

Role Summary 

As a Lead Cybersecurity - IAM Data Fabric SME, you will drive the design, deployment, and enhancement of AT&T’s internal identity aggregation and virtualization platform using leading-edge technology. Your focus will be on engineering robust pipelines and unified profiles, strengthening security and operational agility across the company. 

What You’ll Do 

• Architect, implement, and maintain Radiant Logic (and comparable) solutions to aggregate and virtualize identity data across AT&T’s internal hybrid cloud and on-premises environments. 

• Build end-to-end batch, streaming, and event data pipelines for ingesting, correlating, and de-duplicating data from sources such as LDAP, AD, SCIM, REST, databases, and logs. 

• Develop and publish unified global identity profiles, powering Zero Trust, IGA, and PAM programs, accessible via LDAP, REST, and Graph APIs. 

• Solid understanding of Segregation of Duties (SOD), Data Feed Optimization and deep understanding of various data ingestion protocols and integration methods is necessary. 

• Collaborate with IAM, PAM, HRIS, Cloud, and Application teams to analyze schemas, define SLAs, and automate data quality processes. 

• Implement best practices for pipeline performance, reliability, and compliance (SOX, PCI, HIPAA); drive automation using CI/CD and Infrastructure-as-Code tools. 

• Create and maintain dashboards and monitoring for data integrity, lineage, and freshness. 

• Troubleshoot, debug, and optimize complex configurations and data flows; perform root cause analysis on identity-related issues. 

• Continuously research new product features and conduct internal knowledge sharing to keep the team at the forefront of identity solutions. 

What You Need to Bring 

• 13+ years of data engineering or IAM data analytics experience, with recent work in large enterprise environments. 

• Specialized, hands-on experience with Radiant Logic IDDF/IDDM/IDA (or similar platforms such as Strata.IO or Verna). 

• Proven success in implementing large-scale ETL/ELT pipelines and identity correlation solutions. 

• Expertise across IAM domains: IGA, PAM, RBAC/ABAC, MFA, directory services. 

• Knowledge of identity protocols and APIs (LDAP, SCIM v2, REST/JSON, OAuth/OIDC, SAML). 

• Strong data modeling ability (relational, graph, and document-based). 

• Background in systems administration (Windows, Unix/Linux) and RDBMS (Oracle, SQL Server, MySQL). 

• Scripting proficiency (Bash, PowerShell, Python); ability to read/debug Java scripts used in dataflows. 

• Familiarity with CI/CD pipelines (e.g., Jenkins, GitHub Actions), IaC (Terraform, CloudFormation, ARM/Bicep), and containerized environments (Kubernetes, Docker). 

• Excellent communication, documentation, and diagramming skills—be able to bridge conversations with technical teams and leadership. 

Nice to Have 

• Implementation or evaluation experience with Strata.IO, Verna, or similar identity data platforms. 

• Familiarity with business application access control models (SAP, Workday, Salesforce, ServiceNow). 

• Strong organizational, project management, and self-motivation skills. 

• Familiarity with applying Artificial Intelligence (AI) or Machine Learning (ML) techniques in cybersecurity contexts (e.g., anomaly detection, threat hunting, behavioral analytics, or risk scoring). 

• Experience leveraging AI-enabled tools (such as Copilot for Security, Darktrace, CrowdStrike Charlotte AI, or custom LLM integrations) to enhance detection, response, and automation workflows. 

•  Understanding LLM safety, prompt engineering, or AI governance frameworks (e.g., NIST AI RMF, EU AI Act readiness) is a plus. 

•  Exposure to data science fundamentals relevant to security (pattern recognition, supervised vs. unsupervised learning, model validation). 

• Awareness of AI-driven risks (e.g., adversarial ML, data poisoning, model hallucination) and their mitigation within enterprise environments. 

• Interest in leveraging GenAI for security operations, such as summarizing alerts, drafting reports, or automating incident triage 

Why Join Us? 

• Be a key player in building the world’s largest Identity Data Fabric, securing the backbone of AT&T. 

• Access and contribute to the industry’s most advanced identity platforms and tools. 

• Collaborate directly with teams across India and the US on a strategic program that shapes AT&T’s future.