Assistant Director (Data Architect)

Institution: National Healthcare Group

Family Group: Administration

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

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