LeadCybersecurityIAMData FabricSME

Location:Bangalore(Onsite 5 days/week) orshould be willingtorelocatetoBangaloreor Hyderabad, collaboration with USteamrequired

Typical working hours:1PM to10 PM IST

About the Team

We are launching AT&T’s greenfield Identity Data Fabric program—uniting human, machine, andallidentities across the organization to create a single, comprehensive, attribute-rich profile trusted by any application and security control, in real time. We work atan enterprisescale with the latest in identity techtools likeRadiant Logic (IDDF/IDDM/IDA) andsimilar.

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.

WhatYou’llDo

• Architect, implement, andmaintainRadiant 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 methodsis 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 andmaintaindashboards and monitoring for data integrity, lineage, and freshness.

• Troubleshoot, debug, andoptimizecomplex 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 NeedtoBring

• 13+ yearsof 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.

• Expertiseacross 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).

• Scriptingproficiency(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).

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

• UnderstandingLLM 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.