Incedo Inc.
Tampa
Role: Sr. Data Modeler/Architect Experience Level: 8–12+ years Location: Tampa, FL, Dallas, TX, or Basking Ridge, NJ Role Overview We are seeking a Data 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: • Strong understanding of network performance management data (RAN, Core, Transport, IP)., • Experience in modeling KPIs, QoS/QoE metrics, SON, alarms, and service assurance data., • Familiarity with time-series, geospatial, and hierarchical relationships in network data. Data Modeling & Architecture (GCP): • Expertise in conceptual, logical, and physical data modeling for large-scale datasets., • Advanced knowledge of BigQuery partitioning, clustering, and optimization., • Hands-on with ER modeling tools (e.g., ERWin, Lucidchart, SQLDBM)., • Experience with semantic modeling for BI platforms (Looker, Tableau, etc.)., • Proficiency in SQL (BigQuery dialect) and Python for data validation. Cloud & Data Engineering Knowledge: • Exposure to Dataflow/Apache Beam for schema enforcement in pipelines., • Knowledge of Dataplex, Pub/Sub, Cloud Storage for modeling ingestion pipelines., • Experience in feature engineering & ML data model preparation (Vertex AI integration is a plus). Preferred Qualifications • 8+ years in data architecture/modeling, with at least 3+ in telecom data., • Strong background in OSS/BSS data models and TM Forum SID frameworks., • Certification: Google Cloud Professional Data Engineer / Architect., • Exposure to 5G network data modeling (slicing, edge, IoT analytics).