Senior Principal Data Architect

StarHub Ltd; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

StarHub Ltd is seeking a senior data architecture authority for the DXP Data platform to translate business analytics and AI priorities into secure, scalable architecture across AWS, Snowflake, ingestion, analytics and AI.

You will own target architectures, data models and governance, guide engineering teams, and drive reusable patterns, security, privacy and cost-aware decisions.

Qualifications

• 15+ years of relevant data architecture experience with enterprise-scale, multi-domain exposure.
• Proven ownership of data-platform strategy, target/reference architecture and modernization roadmaps.
• Deep expertise in conceptual, logical and physical data modelling including data contracts.
• Cloud data-platform fluency with Snowflake and AWS, including ingestion, orchestration and lakehouse patterns.
• Hands-on SQL and Python to profile data and prototype patterns; familiarity with Airflow.
• Embed security, privacy, quality, resilience, cost and regulatory requirements in architecture.
• Understanding of AI/ML and responsible-AI concepts for enterprise data use cases.
• Executive stakeholder leadership in vendor-augmented environments; telecom or C360 experience a plus.

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 designs, manage architecture debt and ensure security, privacy and quality.
• Drive adoption of reusable patterns across ingestion, storage, metadata, AI use cases.
• Translate stakeholder priorities into architecture outcomes and decisions.
• Lead through influence with engineers, analytics and vendor teams.

Skills

Architecture Strategy

Data Models

Governance

Reusable Patterns

Stakeholder Alignment

Technical Leadership

Tools

AWS

Snowflake

Airflow

Airbyte

NiFi/Openflow

Glue

Python

SQL

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.

Accountabilities

1. Architecture Strategy: Own the DXP Data target and reference architecture, principles, transition states and multi-year capability roadmap.
2. 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.
3. Design Authority and Governance: Approve material designs, manage exceptions and architecture debt, and ensure security, privacy, quality, lineage, interoperability and operability are designed in.
4. Standards and Paved Roads: Define and drive adoption of reusable patterns across ingestion, storage, modelling, serving, integration, metadata and AI-enabled data use cases.
5. Business and Technology Alignment: Convert stakeholder priorities into sequenced architecture outcomes, explicit trade-offs and actionable decisions.
6. Technical Leadership by Influence: Guide engineering, stewardship, analytics and vendor teams through reviews, prototypes, decision records, mentoring and knowledge transfer.

Responsibilities

1. Architecture Roadmap: Maintain current, target and transition architectures; prioritize architecture runway, modernization, decommissioning and technical-debt reduction.
2. Data Product Design: Lead conceptual and logical modelling, guide physical design, and define data-product boundaries, contracts, ownership, quality and service expectations.
3. Reference Patterns: Define implementable patterns for batch, CDC, streaming and file ingestion; orchestration; warehouse/lakehouse design; sharing; metadata and lineage.
4. Assurance and Operability: Review material designs and changes for correctness, security, resilience, scale, observability, cost and performance before build or release commitment.
5. 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.
6. Stakeholder and Team Enablement: Facilitate decisions, challenge unclear requirements, assess partner designs and uplift internal capability through reusable guidance and coaching.

Team Scope/ Stakeholders

1. 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.
2. 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.
3. 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.
4. 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

1. 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.
2. Proven ownership of data-platform strategy, target and reference architecture, modernization roadmaps and architecture governance across internal and partner delivery teams.
3. Deep expertise in conceptual, logical and physical data modelling, including customer/party models, dimensional and relational patterns, semantic layers, data products and data contracts.
4. 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.
5. 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.
6. Demonstrated ability to embed security, privacy, classification, access control, quality, resilience, recoverability, observability, cost and regulatory requirements into implementable architecture.
7. Practical understanding of AI/ML and agentic use cases, including AI-ready data, semantic grounding, responsible-AI controls and secure use of enterprise data.
8. Executive-level stakeholder leadership and a track record of leading through influence in vendor-augmented environments. Telecommunications or Customer 360 experience is advantageous.