Telecom Architect AI Analytics And Data Engineering

Thakral One; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Thakral One is seeking a senior Telecom Architect specialized in AI, analytics, and data engineering to design end-to-end telecom data solutions across RAN, Core, and multi-generation networks. You will shape greenfield architectures and modernise legacy platforms while building scalable data pipelines for CDRs, xDRs, and telemetry.

You will develop AI/ML models for churn, anomaly detection, capacity forecasting, and predictive maintenance; architect data lakes and warehouses for real-time and

Qualifications

• Experience in Telecom, Network Services, Data Engineering, Analytics, or AI/ML domains.
• Strong understanding of telecom network architecture (RAN, Core, BSC/BTS, OSS/BSS, packet and circuit-switched).
• Experience with telecom data sources (CDRs, xDRs, PM/FM data, alarms, telemetry, inventory, topology).
• Led architecture discussions, customer workshops, solutioning, and presales engagements.

Responsibilities

• Architect end-to-end telecom network and data solutions across RAN, Core, BSC/BTS, and multi-generation mobile networks.
• Define greenfield architectures while modernising legacy telecom platforms and data ecosystems.
• Design scalable data pipelines for telecom datasets (CDRs, xDRs, PM/FM counters, telemetry, inventory, topology).
• Build and deploy AI/ML models for telecom use cases such as churn prediction, anomaly detection, capacity forecasting, and predictive maintenance.
• Architect enterprise data lakes, warehouses, and analytics platforms for batch and real-time processing.
• Lead solution design and presales activities including proposals, architecture presentations, effort estimation, and costing.
• Deliver large telecom transformation programs covering design, development, testing, migration, deployment, and rollout.
• Define migration, cutover, and rollback strategies to ensure seamless implementation.
• Support post-production operations by monitoring performance, ensuring SLA adherence, and driving continuous improvements.
• Mentor technical teams and establish reusable frameworks, accelerators, and methodologies.

Skills

Data engineering

Analytics

AI/ML

ETL/ELT

Data governance

Cloud platforms

Big data

Spark

Hadoop

SQL

Python

Tools

Spark

Hadoop

SQL

Python

Job description

Job Description:

As a Telecom Architect - AI, Analytics & Data Engineering, you will combine deep telecom network expertise with advanced data engineering, analytics, and AI/ML capabilities to deliver next-generation, data-driven solutions for Communication Service Providers (CSPs). You will architect and implement telecom analytics platforms, AI-enabled network solutions, and autonomous network capabilities that improve performance, efficiency, and customer experience.

What You'll Do and How You'll Succeed

Telecom & Data Architecture

• Architect and deliver end-to-end telecom network and data solutions across RAN, Core, BSC/BTS, and multi-generation mobile networks (2G/3G/4G/5G).
• Define and implement greenfield architectures while modernising and migrating legacy telecom platforms and data ecosystems.
• Design scalable data pipelines for telecom datasets (CDRs, xDRs, PM/FM counters, telemetry, inventory, topology).

AI, Analytics & Autonomous Networks

• Design AI and data foundations supporting autonomous network initiatives (closed-loop assurance, self-optimising networks, intent-based operations).
• Build and deploy AI/ML models for telecom use cases such as churn prediction, anomaly detection, capacity forecasting, optimisation, and predictive maintenance.
• Architect enterprise data lakes, warehouses, and analytics platforms for batch and real-time processing.
• Optimise ETL/ELT frameworks with focus on data quality, governance, lineage, and scalability.

Solutioning & Delivery Leadership

• Lead solution design and presales activities including proposals, architecture presentations, effort estimation, and costing.
• Deliver large telecom transformation programs covering design, development, testing, migration, deployment, and rollout.
• Define migration, cutover, and rollback strategies to ensure seamless implementation and business continuity.
• Support post-production operations by monitoring performance, ensuring SLA adherence, and driving continuous improvements.

Team Leadership & Best Practices

• Mentor technical teams and establish reusable frameworks, accelerators, and methodologies.
• Drive adoption of best practices across telecom analytics and data engineering initiatives.

We'd Love to Hear From You If...

Experience

• You have 9-14 years of experience in Telecom, Network Services, Data Engineering, Analytics, or AI/ML domains.
• You have strong understanding of telecom network architecture (RAN, Core, BSC/BTS, OSS/BSS, packet and circuit-switched).
• You have worked with telecom data sources (CDRs, xDRs, PM/FM data, alarms, telemetry, inventory, topology).
• You have led architecture discussions, customer workshops, solutioning, and presales engagements.

Technical Expertise

• You have hands-on experience in data engineering, pipeline development, data lakes, warehouses, and real-time analytics.
• You are skilled in ETL/ELT frameworks, data governance, and cloud/big data ecosystems.
• You have knowledge of AI/ML model development and deployment for telecom use cases.

Ways of Working

• You demonstrate strong stakeholder management, communication, and leadership skills.
• You thrive in customer-facing consulting and presales engagements.
• You are proactive in bridging telecom expertise with advanced analytics to enable intelligent operations.

Preferred Qualifications

• Experience in autonomous networks, network automation, and AI-driven telecom operations.
• Exposure to cloud platforms and modern data technologies.
• Experience with global telecom operators and CSP customers.

Requirements: