Senior Data Architect, Enterprise Data Transformation

Shanghai Commercial Bank Ltd; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Shanghai Commercial Bank Ltd is seeking an experienced Data Architect to define and own the Target Enterprise Data Architecture in a banking context. You will shape canonical models, master data strategy, and data domains while ensuring alignment with regulatory reporting and end-to-end data lineage.

You will partner with Risk, Finance, and Compliance to reduce manual reconciliations, establish a robust Data Governance Framework, and lead a team of architects, analysts, and data engineers across

Qualifications

• 7+ years in data architecture in the banking sector.
• Experience with enterprise data modelling and cloud/hybrid architectures.
• Strong regulatory reporting and data lineage knowledge.
• Excellent executive communication and storytelling skills.
• Fluent in English and Chinese, with cross-functional collaboration ability.

Responsibilities

• Define and own the Target Enterprise Data Architecture and canonical data models.
• Establish data ownership, governance, and quality KPIs.
• Ensure data architecture supports regulatory reporting and end-to-end lineage.
• Partner with Risk, Finance, and Compliance to improve auditability.
• Lead a team of architects, analysts, and data engineers.

Skills

Data architecture

Data modelling

Regulatory reporting

Executive communication

Stakeholder management

Cloud & hybrid

Data governance

Mentoring

Data quality

English/Chinese bilingual

Job description

Shanghai Commercial Bank Ltd is seeking an experienced Data Architect to define and own the Target Enterprise Data Architecture in a banking context. You will shape canonical models, master data strategy, and data domains while ensuring alignment with regulatory reporting and end-to-end data lineage.

You will partner with Risk, Finance, and Compliance to reduce manual reconciliations, establish a robust Data Governance Framework, and lead a team of architects, analysts, and data engineers across