
Telecom Data Architect Specialist
18 hours ago
We are seeking a skilled Data Architect to join our team. This role involves designing comprehensive data architectures and technical solutions for the telecommunications industry.
Key Responsibilities:- Designing enterprise-scale telecom data architectures incorporating TMforum standards and frameworks.
- Developing comprehensive data models aligned with TMforum guidelines for telecommunications domains.
- Creating data architectures that support telecom-specific use cases, including customer journey analytics and network performance optimization.
- Designing solutions leveraging Microsoft Azure and Databricks for telecom data processing and analytics.
- Conducting technical discovery sessions with telecom clients to understand their OSS/BSS architecture, network analytics needs, and customer experience requirements.
- Designing and delivering proof of concepts (POCs) and technical demonstrations showcasing modern data platforms solving real-world telecommunications challenges.
- Creating comprehensive architectural diagrams and implementation roadmaps for telecom data ecosystems spanning cloud, on-premises, and hybrid environments.
- Evaluating and recommending appropriate big data technologies, cloud platforms, and processing frameworks based on telecom-specific requirements and regulatory compliance needs.
- 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, 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.
The ideal candidate will have a strong background in data architecture, excellent communication skills, and the ability to work effectively in a team environment.
What We Offer:- A competitive salary and benefits package.
- Ongoing training and professional development opportunities.
- A collaborative and dynamic work environment.
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