Assistant Director (Data Architect)

Company description:

The National Healthcare Group (NHG) is a leader in public healthcare in Singapore, recognised at home and abroad for the quality of its medical expertise and facilities. Care is provided through an integrated network of seven primary care polyclinics, acute care and tertiary hospitals, national specialty centres and business divisions. Together they bring a rich legacy of medical expertise to our philosophy of integrated patient-centred care.

NHG's vision is "Adding Years of Healthy Life". This vision goes beyond merely healing the sick to the more difficult and infinitely more rewarding task of preventing illness and preserving health and quality of life. With some 22,000 staff, NHG aims to provide care that is patient-centric, accessible, seamless, comprehensive, appropriate and cost-effective.

As the Regional Health System (RHS) for Central-North Singapore, it is vital for NHG to partner and collaborate with stakeholders, community advisors, and voluntary welfare organisations. Together with our patients, their families and caregivers, we aim to deliver integrated healthcare services and programmes that help in Adding Years of Healthy Life to all concerned.

Job description:

Job Purpose

The Data Architect provides strategic leadership in designing and governing the enterprise data architecture that supports the cluster's data-driven decision-making processes. This role is responsible for establishing and maintaining the data architecture strategy, governance frameworks, and technical standards while ensuring seamless integration across healthcare systems through the Databricks Lakehouse environment. Working in close partnership with the Data Engineering Lead, this position ensures that data architecture decisions align with infrastructure capabilities and enterprise technology standards.

MAJOR DUTIES & RESPONSIBILITIES

Areas of Responsibility

Data Strategy & Architecture

• Define and maintain enterprise data architecture strategy and roadmap
• Design scalable architecture for the Databricks Lakehouse environment
• Establish data modeling standards and reference architectures; explore adoption across other healthcare clusters
• Guide data integration patterns across healthcare systems
• Drive data solutioning for new and existing use cases
• Evaluate new technologies and make strategic recommendations to leadership on what new technologies should be adopted
• Evaluate vendor-proposed / provided architectures, including validation of vendor deliverables against standards, and providing sign-offs on vendor solutions.

Data Governance & Quality

• Develop and implement enterprise-wide data governance framework that spans across different data platforms
• Establish and maintain data quality standards and monitoring approaches
• Define metadata management strategies
• Ensure compliance with healthcare regulations
• Design data lineage and cataloguing solutions

Technical Implementation & Operations

• Guide implementation of data pipelines using Informatica IDMC and Spark
• Review and implement data operations best practices
• Monitor and optimise data workflow performance

Leadership & Collaboration

• Lead team assigned resources as required
• Collaborate with Data Engineering Lead on infrastructure needs
• Mentor team members on best practices
• Drive knowledge sharing and documentation
• Lead committee(s) as and where required

JOB REQUIREMENTS

Education/Training/Experience

• Bachelor's degree in Computer Science, Information Technology, or related field
• 8+ years of data architecture experience
• 5+ years of healthcare industry experience
• Proven experience leading data engineering teams
• Technical skills in the following areas:
  • Databricks Lakehouse Architectures
  • Informatica IDMC
  • Apache Spark and Python
  • Healthcare data standards (HL7, FHIR)
  • Data modeling and design
  • SQL and Data Warehousing
  • Data security and compliance frameworks

Personal Attributes

• Strategic thinking and problem-solving abilities
• Strong leadership and mentoring capabilities
• Excellent communication and stakeholder management skills
• Detail-oriented with strong analytical skills
• Ability to balance technical excellence with practical implementation