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 nextgeneration, datadriven solutions for Communication Service Providers (CSPs). You will architect and implement telecom analytics platforms, AIenabled network solutions, and autonomous network capabilities that improve performance, efficiency, and customer experience.

What Youll Do and How Youll Succeed

Telecom Data Architecture

- Architect and deliver endtoend telecom network and data solutions across RAN, Core, BSC/BTS, and multigeneration 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 (closedloop assurance, selfoptimising networks, intentbased 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 realtime 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 postproduction 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.

Wed Love to Hear From You If.. .

Experience

- You have 914 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 circuitswitched).
- 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 handson experience in data engineering, pipeline development, data lakes, warehouses, and realtime 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 customerfacing 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 AIdriven telecom operations.
- Exposure to cloud platforms and up-to-date data technologies.
- Experience with global telecom operators and CSP customers.

📌 Telecom Architect - AI, Analytics & Data Engineering (Bengaluru)
🏢 Thakral One
📍 Bengaluru