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About the role
This is a senior individual-contributor role owning data architecture for the DXP Data platform and C360 ecosystem, working across internal teams and vendor-augmented teams in Singapore, Malaysia and India. You will set direction rather than manage people, assuring design and operational quality while engineering leads retain delivery and Day-2 ownership. It suits a principal-level architect with deep cloud data-platform and modelling experience who leads through influence.
What you'll do
Own the target and reference architecture, principles, transition states and multi-year capability roadmap for DXP Data.
Set direction for enterprise-aligned domain models, semantic structures, data contracts and reusable data-product architecture supporting C360 and self-service analytics.
Senior Principal Data Architect job at StarHub, Singapore | WorkJio
Approve material designs, manage exceptions and architecture debt, and ensure security, privacy, quality, lineage, interoperability and operability are designed in.
Define and drive adoption of reusable patterns across ingestion, storage, modelling, serving, integration, metadata and AI-enabled data use cases.
Convert stakeholder priorities into sequenced architecture outcomes, explicit trade-offs and actionable decisions.
Guide engineering, stewardship, analytics and vendor teams through reviews, prototypes, decision records, mentoring and knowledge transfer.
Maintain current, target and transition architectures and prioritise architecture runway, modernisation, decommissioning and technical-debt reduction.
Lead conceptual and logical modelling, guide physical design, and define data-product boundaries, contracts, ownership, quality and service expectations.
Define implementable patterns for batch, CDC, streaming and file ingestion, orchestration, warehouse/lakehouse design, sharing, metadata and lineage.
Review material designs and changes for correctness, security, resilience, scale, observability, cost and performance before build or release commitment.
Evaluate and prototype platform choices across AWS, Snowflake, ingestion/orchestration, open formats, semantic or knowledge layers and AI, documenting evidence, TCO and risks.
Facilitate decisions, challenge unclear requirements, assess partner designs and uplift internal capability through reusable guidance and coaching.
Good to know
Scope covers the DXP Data Platform and C360 ecosystem, including AWS, Snowflake, Datapipe/Airflow/Airbyte, SageMaker, metadata and analytics enablement.
Decision rights include approval of target/reference architecture, strategic data and solution designs, modelling patterns, data-product architecture, technology recommendations, standards and exceptions, plus escalation of material security, quality, operational, cost or architectural risks before delivery or go-live.
Stakeholders include the DXP Data Domain Owner, Enterprise and Solution Architecture, Data Engineering, Platform Engineering, Data Quality Stewards, BI/Analytics, Data Science/AI, Business Data
Requirements
15+ years of relevant experience preferred; 12+ years considered with equivalent principal-level scope
At least 7 years owning enterprise or domain data architecture as a senior design authority in production-scale, multi-domain environments
Proven ownership of data-platform strategy, target and reference architecture, modernisation roadmaps and architecture governance across internal and partner 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, plus modern ingestion, orchestration, warehouse/lakehouse, open-table, metadata, lineage and self-service analytics patterns
Hands-on SQL and Python credibility to profile data, validate assumptions, prototype critical patterns and review implementation choices
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