Lead Cybersecurity - Identity Analytics Engineer
Bengaluru, India
LeadCybersecurity:IAMData 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.
Role Summary
As aLead 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 anddeep 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 withRadiant 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.
Weekly Hours:
40Time Type:
RegularLocation:
IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd - Adm: Intl Tech Park, Innovator BldgIt is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
Job ID R-93036 Date posted 06/09/2026
Benefits
Your needs? Met. Your wants? Considered. Take a look at our comprehensive benefits.
- Paid Time Off
- Tuition Assistance
- Medical and dental plans
- Discounts
- Training & Development
Our hiring process
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