Telecom Network Data Performance Architect

Job Description

Job Description

Role Overview

We are seeking a Telecom Network Data Performance Architect with deep expertise in data modeling and architecture on Google Cloud Platform (GCP). The role focuses on building robust, scalable, and domain-driven data models for telecom network performance management, enabling analytics, AI / ML, and automation use cases across network operations and customer experience.

Key Responsibilities

• Design and implement logical, physical, and semantic data models for telecom network performance datasets (PM counters, CDRs, alarms, logs, probe data, OSS KPIs).
• Develop time-series, geospatial, and hierarchical data models optimized for BigQuery and Dataflow pipelines.
• Standardize telecom KPIs, KQIs, and service quality metrics into reusable data schemas for assurance and optimization.
• Build and maintain enterprise data models aligned with TM Forum SID / industry standards.
• Collaborate with data engineers to translate models into efficient ingestion, transformation, and storage patterns on GCP.
• Ensure data normalization vs denormalization trade-offs, partitioning and clustering strategies, and performance tuning in BigQuery.
• Define semantic layers for BI and analytics (Looker / Looker Studio) to expose network KPIs consistently.
• Implement metadata, lineage, and cataloging using Dataplex for governed access to telecom datasets.
• Guide data scientists and AI / ML engineers in feature store design and model-ready data sets.

Required Skills & Experience

Telecom Domain Modeling :

Data Modeling & Architecture (GCP) :

Cloud & Data Engineering Knowledge :

Preferred Qualifications