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Data Architect

Data Architect

Incedo Inc.Tampa, FL, US
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Job Description

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) .
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    Data Architect • Tampa, FL, US