Senior Principal Data Architect

StarHub; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

StarHub is seeking a senior data architect to act as the authority for the DXP Data architecture, translating business and AI priorities into secure, scalable architecture across AWS, Snowflake, ingestion and analytics. You will own target architecture, data models, and reusable patterns while guiding engineering teams and partners.

The role emphasizes governance-by-design, architecture validation, and cross-team collaboration across Singapore, Malaysia and India to deliver enterprise data

Qualifications

• 15+ years of relevant experience preferred.
• Proven ownership of data-platform strategy and architecture governance.
• Deep expertise in conceptual, logical and physical data modelling.
• Cloud data-platform architecture expertise (Snowflake & AWS).
• Hands-on SQL and Python credibility for profiling and prototyping patterns.
• Experience with Airflow and ingestion technologies like Airbyte/NiFi/Openflow/Glue.
• Ability to embed security, privacy, quality, lineage, and cost considerations into architecture.
• Understanding of AI/ML and responsible-AI data patterns.

Responsibilities

• Own the DXP Data target and reference architecture and multi-year roadmap.
• Define enterprise domain models, data contracts and reusable data-product patterns.
• Approve material designs and manage architecture debt, ensuring security and operability.
• Drive reusable patterns across ingestion, storage, modelling, serving and metadata.
• Translate stakeholder priorities into sequenced architecture outcomes and decisions.
• Guide engineering, analytics and vendor teams through reviews and governance processes.
• Maintain architecture runway and modernization priorities; reduce technical debt.
• Lead data-product design and define data-product boundaries and ownership.

Skills

Senior-level experience

Enterprise data architecture

Cloud data platforms

SQL

Python

Airflow

Tools

Snowflake

AWS

Airbyte

NiFi/Openflow

Glue

Job description

Role Mission

Serve as the senior data architecture authority for DXP Data, translating business, analytics and AI priorities into secure, scalable, operable and cost-aware architecture across AWS, Snowflake, ingestion, analytics and AI. Own target architecture, domain data models, reusable patterns and governance-by-design, and guide engineering teams and partners.

Job Description

Serve as the senior data architecture authority for DXP Data, translating business, analytics and AI priorities into secure, scalable, operable and cost-aware architecture across AWS, Snowflake, ingestion, analytics and AI. Own target architecture, domain data models, reusable patterns and governance-by-design, and guide engineering teams and partners.

Accountabilities

• Architecture Strategy: Own the DXP Data target and reference architecture, principles, transition states and multi-year capability roadmap.
• Data Models and Products: Set direction for enterprise-aligned domain models, design semantic structures, data contracts and reusable data-product architecture supporting C360 and self-service analytics.
• Design Authority and Governance: Approve material designs, manage exceptions and architecture debt, and ensure security, privacy, quality, lineage, interoperability and operability are designed in.
• Standards and Paved Roads: Define and drive adoption of reusable patterns across ingestion, storage, modelling, serving, integration, metadata and AI-enabled data use cases.
• Business and Technology Alignment: Convert stakeholder priorities into sequenced architecture outcomes, explicit trade-offs and actionable decisions.
• Technical Leadership by Influence: Guide engineering, stewardship, analytics and vendor teams through reviews, prototypes, decision records, mentoring and knowledge transfer.

Responsibilities

• Architecture Roadmap: Maintain current, target and transition architectures; prioritize architecture runway, modernization, decommissioning and technical-debt reduction.
• Data Product Design: Lead conceptual and logical modelling, guide physical design, and define data-product boundaries, contracts, ownership, quality and service expectations.
• Reference Patterns: Define implementable patterns for batch, CDC, streaming and file ingestion; orchestration; warehouse/lakehouse design; sharing; metadata and lineage.
• Assurance and Operability: Review material designs and changes for correctness, security, resilience, scale, observability, cost and performance before build or release commitment.
• Technology Evolution: Evaluate and prototype platform choices across AWS, Snowflake, ingestion/orchestration, open formats, semantic or knowledge layers and AI; document evidence, TCO and risks.
• Stakeholder and Team Enablement: Facilitate decisions, challenge unclear requirements, assess partner designs and uplift internal capability through reusable guidance and coaching.

Team Scope/ Stakeholders

• Scope: Data architecture and governance across the DXP Data Platform and C360 ecosystem, including AWS, Snowflake, Datapipe/Airflow/Airbyte, SageMaker, metadata, analytics enablement, and evolving data and AI platform capabilities.
• Decision Rights: Approval of target/reference architecture, strategic data and solution designs, enterprise/domain modelling patterns, data-product architecture, technology recommendations, architecture standards and exceptions; escalation of material security, quality, operational, cost, or architectural risks before delivery or go-live.
• Stakeholders: DXP Data Domain Owner, Enterprise and Solution Architecture, Data Engineering, Platform Engineering, Data Quality Stewards, BI/Analytics, Data Science/AI, Business Data Owners, Infrastructure, Cybersecurity/ISO, Legal/Risk, application domain teams, and strategic partners.
• Role Boundary / Resources: Senior individual-contributor and design-authority role operating across internal and vendor-augmented teams in Singapore, Malaysia and India. Engineering leads retain people leadership, implementation delivery and Day-2 operational ownership; the architect sets direction, assures design & operational quality, and drives cross-team alignment and capability uplift.

Minimum Profile/ Track Record

• 15+ years of relevant experience is preferred. Candidates with 12+ years may be considered where they demonstrate equivalent principal-level scope. Experience should include at least 7 years owning enterprise or domain data architecture and acting as a senior design authority in production-scale, multi-domain environments.
• Proven ownership of data-platform strategy, target and reference architecture, modernization roadmaps and architecture governance across internal and partner delivery teams.
• Deep expertise in conceptual, logical and physical data modelling, including customer/party models, dimensional and relational patterns, semantic layers, data products and data contracts.
• Strong technical fluency in cloud data-platform architecture - preferably Snowflake and AWS - and modern ingestion, orchestration, warehouse/lakehouse, open-table, metadata, lineage and self-service analytics patterns.
• Hands-on SQL and Python credibility sufficient to profile data, validate assumptions, prototype critical patterns and review implementation choices. Airflow and relevant ingestion technologies such as Airbyte, NiFi/Openflow or Glue are advantageous.
• Demonstrated ability to embed security, privacy, classification, access control, quality, resilience, recoverability, observability, cost and regulatory requirements into implementable architecture.
• Practical understanding of AI/ML and agentic use cases, including AI-ready data, semantic grounding, responsible-AI controls and secure use of enterprise data.
• Executive-level stakeholder leadership and a track record of leading through influence in vendor-augmented environments. Telecommunications or Customer 360 experience is advantageous.