Telco AI & Data Engineering Architect

• Architect and deliver telecom data, analytics, and AI solutions to support network intelligence and autonomous operations.
• Design data foundations enabling closed-loop automation, self-optimizing networks, and intent-based operations.
• Lead telecom network and data transformation programs across RAN, Core (2G/3G/4G/5G), Transport, and OSS/BSS domains.
• Design and implement large-scale data lakes, data warehouses, and analytics platforms for telecom environments.
• Build and optimize data pipelines for processing CDRs, xDRs, PM/FM counters, telemetry, inventory, and network topology data.
• Develop AI/ML solutions for capacity forecasting, anomaly detection, network optimization, predictive analytics, and customer insights.
• Architect streaming and batch processing platforms using modern data engineering technologies.
• Design and deploy AI-powered use cases supporting AIOps, Service Assurance, Network Analytics, and Autonomous Networks.
• Lead greenfield implementations and modernization of legacy telecom data platforms.
• Drive pre-sales activities including solution architecture, technical proposals, effort estimation, and customer presentations.
• Collaborate with network teams, data scientists, cloud architects, and business stakeholders to define transformation roadmaps.
• Lead end-to-end delivery from architecture and development through deployment, migration, and operational handover.
• Establish best practices for data governance, quality management, security, and platform observability.
• Mentor engineering teams and contribute to telecom AI and data strategy initiatives.

Mandatory Skills

• Strong experience in Telecom Networks including RAN, Core (2G/3G/4G/5G), Transport, IP Networks, BSC/BTS, EPC, and 5GC.
• Expertise in Data Engineering, Big Data, and Analytics Architecture.
• Hands-on experience with Apache Spark, Kafka, Airflow, Hadoop, dbt, SQL and NoSQL technologies.
• Strong knowledge of cloud data platforms such as AWS, Azure, or GCP.
• Experience developing AI/ML solutions using Python, PySpark, Scikit-Learn, TensorFlow, or PyTorch.
• Understanding of Autonomous Networks, Closed-Loop Automation, AIOps, and SON concepts.
• Experience building telecom analytics platforms and processing large-scale network datasets.
• Strong knowledge of Data Governance, Data Quality, ETL/ELT, and Data Lifecycle Management.
• Experience with APIs, Automation Frameworks, and Infrastructure Automation.
• Proven experience in telecom transformation programs and customer-facing solution architecture.

Preferred Skills

• TM Forum ODA/eTOM Frameworks
• MLOps and Model Lifecycle Management
• Telecom Network Automation (Cisco NSO, Crosswork, SD-WAN)
• Power BI, Tableau, and Advanced Analytics
• Ansible, Terraform, YANG/NETCONF
• AI-driven Network Operations and Service Assurance

Preferred Certifications

• Azure Data Engineer / Azure AI Certifications
• AWS Data Analytics or Machine Learning Certifications
• Google Professional Data Engineer
• Databricks Certifications
• TM Forum Certifications
• Snowflake Certifications