Key Responsibilities
Enterprise Architecture & Integration
Define and govern enterprise data integration architecture and standards.
Design scalable and reusable data integration patterns across systems and platforms.
Drive alignment between business goals, analytics requirements, and technology solutions.
Act as a trusted advisor on data, analytics, and AI transformation initiatives.
Data Platform & Cloud Strategy
Lead architecture for the Enterprise Data Platform supporting analytics, AI, and data products.
Establish best practices for
AWS cloud data solutions
Databricks Lakehouse architecture
dbt analytics engineering frameworks
SAP integrations and data ecosystems
Ensure solutions are scalable, secure, resilient, and cost-effective.
Promote platform reuse and reduce duplication across teams.
Data Governance & Master Data Management
Define standards for data quality, metadata, lineage, security, and access management.
Drive enterprise Master Data Management (MDM) and reference data strategies.
Partner with governance, privacy, and security teams to ensure compliance and regulatory requirements are met.
Analytics & AI Enablement
Design architectures that support advanced analytics, AI, and future data-driven capabilities.
Create scalable and trusted data foundations for AI and analytics initiatives.
Ensure solutions meet security, compliance, and quality standards, including regulated pharma requirements.
Leadership & Stakeholder Engagement
Collaborate with architects, engineers, platform teams, SAP teams, governance leads, and business stakeholders.
Provide architectural guidance, mentorship, and design assurance across delivery teams.
Present architectural recommendations and trade-offs to senior leaders.
Represent the Data & Analytics CoE in enterprise architecture and governance forums.
What You'll Bring
Required Experience
Extensive experience in Enterprise Architecture, Data Architecture, Cloud Architecture, or Integration Architecture.
Strong background designing enterprise-scale data and analytics platforms.
Expertise in data integration, ingestion, and harmonization using batch, streaming, and event-driven approaches.
Hands-on experience with
AWS
Databricks (Lakehouse, Spark, Delta Lake)
dbt
SAP HANA Cloud (preferred)
Strong understanding of data modeling and domain-driven design.
Experience with data governance, data quality, metadata management, and MDM.
Excellent communication, stakeholder management, and influencing skills.
Preferred Qualifications
Experience working in large, complex, or highly regulated organizations.
Exposure to Data Mesh or domain-oriented data environments.
Familiarity with data catalog, metadata management, and observability tools.
TOGAF or equivalent Enterprise Architecture certification.
Understanding of PMO processes, SDLC governance, and architecture standards.
Why Join Us?
Shape the future of enterprise-wide data, analytics, and AI capabilities.
Influence strategic technology decisions across the organization.
Work with modern cloud and data technologies, including AWS, Databricks, SAP, and AI platforms.
Join a high-impact team driving innovation, governance, and data excellence at scale.
Travel: Occasional international travel may be required for stakeholder meetings, workshops, and team events.
- The base pay for this position is
- N/A
- In specific locations, the pay range may vary from the range posted.
JOB FAMILY
IT Services & Solutions Delivery
DIVISION
BTS Business Technology Services
LOCATION
Malaysia > Selangor : Imazium, No. 8, Jalan SS 21/37
ADDITIONAL LOCATIONS
WORK SHIFT
Standard
TRAVEL
Yes, 20 % of the Time
MEDICAL SURVEILLANCE
Not Applicable
SIGNIFICANT WORK ACTIVITIES
Not Applicable
