Telecom Data Architecture & Modeling

Role:- Telecom Data Architecture & Modeling

Location:-Remote US

Job Summary

We are seeking an experienced Telco Data Modeling Subject Matter Expert (SME) responsible for designing, developing, and governing enterprise-wide data models that support telecommunications network planning, inventory management, service assurance, performance monitoring, capacity management, and network operations. The ideal candidate will possess deep expertise in telecom domain models, network inventory structures, OSS/BSS ecosystems, and modern analytical platforms.

The candidate will work closely with Network Engineering, Planning, Operations, OSS/BSS architects, Data Engineers, Data Scientists, and Business Stakeholders to create scalable logical and physical data models that enable network visibility, performance analytics, forecasting, automation, and AI-driven decision-making.

Key Responsibilities

Telecom Data Architecture & Modeling

• Design and maintain enterprise-level conceptual, logical, and physical data models for telecom networks.

• Create canonical data models covering:

o Network Inventory

o Network Topology

o Service Inventory

o Resource Inventory

o Capacity Management

o Performance Management

o Fault Management

o Configuration Management

o Service Assurance

o Customer-to-Service-to-Network relationships

• Develop data models supporting:

o Fiber Networks

o Transport Networks (DWDM, MPLS, IP)

o Enterprise Networks

Network Monitoring & Service Assurance Data Modeling

• Model telemetry and monitoring data from network elements, EMS/NMS platforms, and observability systems.

• Design structures supporting:

o KPIs

o Performance Counters

o Events

o Alarms

o Fault Correlation

o Service Impact Analysis

• Create real-time and historical data models for network performance analytics.

Capacity Planning & Forecasting Data Models

• Develop data models supporting:

o Capacity Inventory

o Resource Utilization

o Demand Forecasting

o Growth Planning

o Network Expansion Programs

• Design relationships between:

o Physical Resources

o Logical Resources

o Services

o Traffic Metrics

o Forecast Models

Telecom Inventory Modeling

• Define models for:

o Locations / Sites

o Buildings

o Data Centers

o Fiber Routes

o Cables

o Splices

o Devices

o Cards

o Ports

o Interfaces

o Virtualized Resources

• Establish hierarchical network inventory relationships.

Data Governance

• Define and maintain:

o Data Standards

o Data Dictionaries

o Metadata Management

o Data Lineage

o Data Quality Rules

• Establish master data and reference data models.

Analytics & AI Enablement

• Design models optimized for:

o AI/ML workloads

o Predictive Capacity Planning

o Network Health Analytics

o Closed-loop Automation

Required Technical Skills

Telecom Domain Expertise

Strong understanding of:

• Telecom OSS/BSS

• Network Operations Center (NOC)

• Service Operations Center (SOC)

• Network Inventory Management

• Service Inventory Management

• Capacity Management

• Performance Management

• Fault Management

• Configuration Management

• Service Assurance

• Network Planning

• Resource Planning

Telecommunications Technologies

Experience across:

• Fiber Networks

• DWDM

• MPLS

• IP Networks

• Metro Ethernet

• NFV

• SDN

• Cloud-Native Networks

Data Modeling Expertise

Experience with:

• Conceptual Data Models

• Logical Data Models

• Physical Data Models

• Canonical Data Models

• Graph Data Models

• Metadata Modeling

Preferred Industry Standards Knowledge

• TM Forum SID (Shared Information/Data Model)

• TM Forum Open APIs

• TM Forum eTOM

• ITIL

• MEF Standards

• Open Digital Architecture (ODA)

• 3GPP

• ETSI NFV

• OpenTelemetry

Preferred OSS Experience

• Preferred Prior Experience in one or more of the following

o ServiceNow TNI

o Netcracker

o Amdocs

o Cramer

o Blue Planet

o Ericsson OSS

o Nokia NMS

o Juniper

o Cisco

o Other OSS platforms

Required Experience

• 10+ years in Telecommunications Domain

• 7+ years in Telecom Data Modeling/Data Architecture

• Experience with large-scale Tier-1 Telecom Operators such as:

o AT&T

o Verizon

o T-Mobile

o Vodafone

o BT

o Telstra

o Orange

o Comcast

o Charter

• Experience implementing TM Forum SID-based data models preferred.

Education

• Bachelor's degree in Computer Science, Information Systems, Telecommunications Engineering, or related field.

• Master's degree preferred.

Preferred Certifications

• TM Forum Open Digital Architecture Certification

• TM Forum SID Certification