Thakral One
Website:
thakralone.com
Company:
https://www.linkedin.com/company/thakralone
Seniority: Not Applicable
Industries: IT Services and IT Consulting
Job details:
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.
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Who We Are
Thakral One is a consulting and technology services company headquartered in Singapore, with a pan-Asian presence. We focus primarily around technology-driven consulting, adoption of value-added bespoke solutions, enabling enhanced decision support through data analytics, and embracing possibilities in the cloud. We are heavily inclined towards building capabilities collaboratively with clients and believe strongly in improving grounded and practical outcomes.
This approach is possible through our partnership with leading global technology providers and internal R&D teams. Our clients come from Financial Services, Banking, Telco, Government, Healthcare, and Consumer-oriented organisations.
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