Principal Specialist, Network Data & Knowledge Engineering

Singtel Group; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Singtel is seeking a Principal Specialist, Network Data & Knowledge Engineering to lead architecture and engineering of data and knowledge foundations for AI-enabled networks. You will shape data models, APIs, and governance across real-time and batch streams, influencing platform choices and practice with cross-functional teams.

You will guide ontology, semantic modelling and data-product thinking, contributing to scalable, secure network data products and services for enterprise and consumer

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, Information Systems or a relevant discipline.
• 10+ years of relevant telecom/data/platform engineering experience with proven leadership and delivery.
• Strong telecom-domain knowledge with inventory/topology/OSS/NMS/telemetry experience.

Responsibilities

• Develop and recommend Network Data & Knowledge architecture and contribute to the roadmap.
• Engineer trusted data ingestion and processing for real-time and batch data streams.
• Develop and maintain network data models, ontologies and semantic relationships.
• Provide technical leadership for the Network Knowledge Plane and its graph/semantic capabilities.
• Design and deliver reusable network data and knowledge APIs with clear ownership and security measures.
• Establish data governance, provenance, and quality controls for production readiness.
• Enable AI/Autonomous Network use cases with trusted context services.
• Support platform engineering for scalable data, search and graph platforms.
• Apply DataOps, CI/CD, and data contracts in collaboration with related teams.
• Support alignment with stakeholders to translate priorities into reusable engineering capabilities.

Skills

Data architecture

Data engineering

Telemetry

Knowledge graphs

API design

Cloud-native

Kubernetes

Leadership

Stakeholder mgmt

Strategic thinking

Education

Bachelor's Degree in CS/EE/Data Eng

Tools

Elasticsearch/OpenSearch

ClickHouse

Neo4j

Apache Iceberg

Databricks

HPE Data Fabric

Job description

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Principal Specialist, Network Data & Knowledge Engineering

We're building an AI-first telco for the future—connecting people, businesses and communities through trusted networks, intelligent digital services and next-generation technology.

From transforming everyday experiences in mobile, broadband, entertainment and lifestyle services to enabling enterprises with AI, 5G+, cloud, cybersecurity, data centres and digital platforms, we create the technology that powers how millions live, work and connect.

At Singtel, your work creates real impact. You'll solve meaningful challenges, shape critical digital infrastructure and help build secure, resilient and AI-enabled solutions that serve businesses, digital ecosystems and communities across the globe.

This is where BIG Possibilities become reality. Whether you're engineering intelligent networks, advancing sovereign AI cloud platforms, strengthening cybersecurity, designing seamless customer experiences or driving sustainable innovation, you'll be part of teams shaping the future of technology.

Backed by decades of expertise and driven by a culture of continuous learning and innovation, Singtel offers the scale, opportunities and support to help you grow your career while making a difference where it matters most.

How You will Make An Impact:

• Develop and recommend the Network Data & Knowledge architecture and contribute to the roadmap: Develop solution architecture for UDA, data processing, semantic/knowledge services and reusable data products within approved ACE, Autonomous Network and enterprise architecture principles; provide technical recommendations for roadmap evolution.
• Engineer trusted data ingestion and processing: Design and scale real-time and batch ingestion from NRI, OSS/NMS, probes, telemetry, configuration and operational systems; standardise, transform and enrich data for downstream use.
• Develop and maintain canonical network data models and semantics: Develop and maintain canonical models, ontology, taxonomies and semantic relationships across resource, service, customer-impact and operational domains within approved architecture and governance standards, aligned where applicable to TM Forum information models and standards.
• Provide technical leadership for the Network Knowledge Plane: Lead technical design and engineering of graph and semantic capabilities that connect inventory, topology, services, events, incidents, performance, changes and operational knowledge into a reusable knowledge foundation within the approved architecture.
• Design and deliver reusable network data and knowledge products: Design and deliver reusable data products and knowledge APIs in accordance with agreed ownership, contracts, quality measures, access controls and SLOs for AI, automation, assurance, analytics and application consumers.
• Establish data governance and trust: Implement metadata, catalogue, lineage, provenance, data-quality controls, retention and access governance so data and knowledge are traceable, discoverable and fit for production use.
• Enable AI and Autonomous Network use cases: Provide trusted context, retrieval and knowledge services for NAN, service assurance and agentic operations while keeping decision logic and autonomous action ownership with the relevant ACE capability teams.
• Support platform engineering, performance and cost efficiency: Develop and apply approved technology patterns for scalable data, search, analytics and graph platforms; optimise availability, performance, resilience, security and total cost of ownership within established platform standards.
• Apply DataOps and engineering excellence: Apply automated testing, CI/CD, schema/data-contract validation, infrastructure/platform automation and controlled release practices in collaboration with PRE and EPE.
• Support product and stakeholder alignment: Provide technical input to roadmap prioritisation with network domains and ACE teams; translate approved priorities and use-case needs into reusable engineering capabilities and help prevent duplicated point solutions.
• Support production readiness and service quality: Assess and recommend production readiness against agreed criteria and support achievement of application/platform service quality and data SLOs, working with PRE on observability, incident/problem management, resilience and operational acceptance.
• Contribute technical input to strategy, investment and capability development: Provide technical input to AOP, business cases, procurement/vendor evaluation, workforce capability building and technology innovation for the Network Data & Knowledge domain.

Skills for Success:

• Bachelor's Degree in Computer Science, Computer Engineering, Data Engineering, Information Systems or a relevant discipline
• More than 10 years of relevant experience in telecommunications, data/platform engineering or large-scale software/data systems, with proven technical leadership and production delivery experience.
• Strong telecommunications-domain knowledge with experience in network inventory, topology, OSS/NMS, telemetry and service/resource data.
• Strong data architecture and engineering experience across streaming and batch ingestion, data modelling, data contracts, lakehouse/data-platform patterns and distributed systems.
• Hands-on understanding of search, analytical and graph technologies (e.g., Elasticsearch/OpenSearch, ClickHouse, Neo4j or equivalent) and modern lakehouse technologies (e.g., Apache Iceberg, Databricks, HPE Data Fabric or equivalent).
• Experience in ontology, semantic modelling, knowledge graphs and metadata/catalogue/lineage capabilities.
• Strong understanding of API/data-product design, data governance, security, quality, provenance and SLO-based service management.
• Strong cloud-native and container-platform knowledge, including Kubernetes/OpenShift, CI/CD/DataOps and infrastructure/platform automation.
• Experience translating AI/analytics/automation use cases into reusable data and context capabilities, including RAG/agent context patterns where applicable.
• Working knowledge of TM Forum ODA/Open APIs and information models, or equivalent telecom standards.
• Strong technical leadership and ability to influence across teams without relying solely on hierarchy.
• Strong stakeholder management, facilitation and negotiation skills across engineering, operations, architecture, AI and business teams.
• Strategic and systems thinking with strong analytical and problem-solving capability.
• Strong communication and presentation skills, including the ability to explain complex data/knowledge concepts to senior stakeholders.
• Product mindset, ownership and commitment to developing engineering capability and reusable solutions.
• Network knowledge plane, ontology/semantic modelling, data-product management, Autonomous Network architecture and responsible use of AI context/data.

Are you ready to say hello to BIG Possibilities?

Join Singtel to shape what's next and accelerate your career through meaningful work, continuous learning, and real impact.

Take the leap with Singtel to shape what’s next and accelerate your growth.