Lead Cybersecurity - Identity Data Engineer

AT&T; Bengaluru; On-site; INR 20,00,000 - 30,00,000; Full time

Job summary

A leading telecommunications company seeks a seasoned Data Engineer with over 14 years in data engineering and IAM analytics. The role involves developing robust data pipelines and ensuring quality controls while collaborating with various teams. Ideal candidates should have strong data modeling skills and experience with identity protocols like LDAP and SCIM. A bachelor's or master’s in computer science is required. This position offers a dynamic environment for those eager to take on challenges in a fast-paced setting.

Qualifications

• 14+ years in data engineering or IAM data analytics.
• Hands-on with ETL/ELT frameworks.
• Exposure to IAM concepts: IGA, PAM, RBAC/ABAC, MFA.

Responsibilities

• Own end-to-end development of data pipelines.
• Design identity correlation and de-duplication logic.
• Build lineage dashboards for data integrity and compliance.

Skills

Data engineering

IAM data analytics

ETL/ELT frameworks

Data modeling skills

Identity protocols

Education

Bachelor’s or master’s in computer science

Tools

Terraform

CloudFormation

GitHub Actions

Job description

**Job Description:****What You'll Do:*** Own end-to-end development of batch, streaming, and event-driven pipelines that ingest identity, entitlement, and audit data (LDAP, SCIM, REST, SQL, API, log, and file).* Design and implement identity correlation, matching, and de-duplication logic to create a “single source of truth” for every human and non-human identity.* Model data using RadiantLogic IDDF/IDDM (or equivalent) to publish global profiles over LDAP, REST, and Graph APIs.* Partner with IAM, PAM, HRIS, Cloud, and Application teams to understand schemas, define SLAs, and automate data quality controls.* Build lineage dashboards and monitoring to ensure data freshness, integrity, and compliance (SOX, PCI, HIPAA).* Continuously improve pipeline performance, reliability, and security through CI/CD, IaC, and automated testing.**What You'll Need To Bring:*** 14+ years in data engineering or **IAM data analytics*** Hands-on with **ETL/ELT frameworks*** Exposure to IAM concepts: IGA, PAM, RBAC/ABAC, MFA, directory services.* Experience with identity protocols and APIs—LDAP, SCIM v2, REST/JSON, OAuth/OIDC, SAML.* Proven record of correlating identities across HR, AD/AAD, SailPoint, CyberArk, AWS/GCP/Azure.* Strong **data-modeling skills** (relational, graph, and/or document).**Nice To Have:*** **Radiant Logic IDDF/IDDM, Global Identity Builder, or comparable virtualization platform.*** Infrastructure-as-Code (Terraform, CloudFormation, ARM/Bicep).* CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps).**Additional Skills & Qualifications*** Bachelor’s or master’s in computer science, Data Engineering, or Cybersecurity* Strong communication, diagramming, and documentation abilities—able to explain complex data flows to both engineers and executives.* Self-starter who can prioritize, execute, and iterate in a fast-moving environment.**Weekly Hours:**40**Time Type:**Regular**Location:**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.