Asst Director at NHG

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks Lakehouse, Informatica IDMC, Apache Spark, Python, HL7, FHIR, Data Modeling, SQL, Data Warehousing, Data Governance, Enterprise Architecture, Data Security, Stakeholder Management, Strategic Thinking, Leadership, Metadata Management

Industry

Hospitals and Health Care

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 Percent of Time Spent Measurement Criteria 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. 30 Completion of enterprise architecture documentation Implementation of standardised data models (One NHG Common Data Model) Successful integration of healthcare systems 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 25 Implementation of governance frameworks, policies and / or SOPs Establish data quality metrics and monitoring Establish metadata coverage metrics 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 25 Pipeline performance metrics System uptime and reliability Implementation of optimisation initiatives 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 20 Team performance metrics Documentation quality and coverage Knowledge sharing session completion Stakeholder satisfaction ratings 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

Responsibilities

Lead the strategic design and governance of the enterprise data architecture using the Databricks Lakehouse environment to support data-driven decision-making. Establish data modeling standards, governance frameworks, and technical standards while overseeing data pipeline implementation and team leadership.