Data Architect - Telecom Domain (10-12 yrs)

Position : Data Architect Telecom Domain.

Job Role : Full Time.

Location : Noida, Gurgraon, Hyderbad.

Exp : 12+ Exp.

NP : Immediate/Max 15 Days.

About the Role :

We are seeking an experienced Telecom Data Architect to join our team.

In this role, you will be responsible for designing comprehensive data architecture and technical solutions specifically for telecommunications industry challenges, leveraging TMforum frameworks and modern data platforms.

You will work closely with customers, and technology partners to deliver data solutions that address complex telecommunications business requirements including customer experience management, network optimization, revenue assurance, and digital transformation initiatives.

Responsibilities :

- Design and articulate enterprise-scale telecom data architectures incorporating TMforum standards and frameworks, including SID (Shared Information/Data Model), TAM (Telecom Application Map), and eTOM (enhanced Telecom Operations Map).

- Develop comprehensive data models aligned with TMforum guidelines for telecommunications domains such as Customer, Product, Service, Resource, and Partner management.

- Create data architectures that support telecom-specific use cases including customer journey analytics, network performance optimization, fraud detection, and revenue assurance.

- Design solutions leveraging Microsoft Azure and Databricks for telecom data processing and analytics.

- Conduct technical discovery sessions with telecom clients to understand their OSS/BSS architecture, network analytics needs, customer experience requirements, and digital transformation objectives.

- Design and deliver proof of concepts (POCs) and technical demonstrations showcasing modern data platforms solving real-world telecommunications challenges.

- Create comprehensive architectural diagrams and implementation roadmaps for telecom data ecosystems spanning cloud, on-premises, and hybrid environments.

- Evaluate and recommend appropriate big data technologies, cloud platforms, and processing frameworks based on telecom-specific requirements and regulatory compliance needs.

- Design data governance frameworks compliant with telecom industry standards and regulatory requirements (GDPR, data localization, etc.

- Stay current with the latest advancements in data technologies including cloud services, data processing frameworks, and AI/ML capabilities.

- Contribute to the development of best practices, reference architectures, and reusable solution components for accelerating proposal development.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Telecommunications Engineering, Data Science, or a related technical field.

- 10+ years of experience in data architecture, data engineering, or solution architecture roles with at least 5 years in telecommunications industry.

- Deep knowledge of TMforum frameworks including SID (Shared Information/Data Model), eTOM, TAM, and their practical implementation in telecom data architectures.

- Demonstrated ability to estimate project efforts, resource requirements, and implementation timelines for complex telecom data initiatives.

- Hands-on experience building data models and platforms aligned with TMforum standards and telecommunications business processes.

- Strong understanding of telecom OSS/BSS systems, network management, customer experience management, and revenue management domains.

- Hands-on experience with data platforms including Databricks, and Microsoft Azure in telecommunications contexts.

- Experience with modern data processing frameworks such as Apache Kafka, Spark and Airflow for real-time telecom data streaming.

- Proficiency in Azure cloud platform and its respective data services with an understanding of telecom-specific deployment requirements.

- Knowledge of system monitoring and observability tools for telecommunications data infrastructure.

- Experience implementing automated testing frameworks for telecom data platforms and pipelines.

- Familiarity with telecom data integration patterns, ETL/ELT processes, and data governance practices specific to telecommunications.

- Experience designing and implementing data lakes, data warehouses, and machine learning pipelines for telecom use cases.

- Proficiency in programming languages commonly used in data processing (Python, Scala, SQL) with telecom domain applications.

- Understanding of telecommunications regulatory requirements and data privacy compliance (GDPR, local data protection laws).

- Excellent communication and presentation skills with ability to explain complex technical concepts to telecom stakeholders.

- Strong problem-solving skills and ability to think creatively to address telecommunications industry challenges.

- Good to have TMforum certifications or telecommunications industry certifications.

- Relevant data platform certifications such as Databricks, Azure Data Engineer are a plus.

- Willingness to travel as required.