Enterprise Data Platform Leader

At OCBC Indonesia
, we're modernizing our enterprise technology landscape to enable scalable, secure, and data-driven banking. We're looking for an experienced technology leader to drive the evolution of our enterprise data platform and engineering capabilities, enabling reliable, high-quality, and scalable data services across the organization.

• Full Work From Office (WFO)
• Location: OCBC Indonesia BSD Office, Tangerang

• Lead the design, development, and evolution of the Bank's enterprise data platform and engineering capabilities.
• Define and execute the technology roadmap for modern data platforms, cloud adoption, and platform modernization initiatives.
• Design and operate scalable, secure, and resilient data platforms supporting enterprise applications, analytics, regulatory reporting, and digital initiatives.
• Build and optimize enterprise data pipelines, integration frameworks, and real-time data processing capabilities.
• Drive engineering excellence by implementing best practices in platform architecture, automation, CI/CD, Infrastructure as Code (IaC), observability, and operational reliability.
• Collaborate closely with Enterprise Architecture, Infrastructure, Application Development, Information Security, Data, Risk, and Business stakeholders to deliver enterprise technology solutions.
• Establish engineering standards for data quality, governance, metadata, security, and platform reliability.
• Ensure platform scalability, performance, resilience, availability, and cost optimization.
• Lead technology planning, vendor management, budgeting, and resource planning for enterprise data platform initiatives.
• Mentor engineering leaders and build a high-performing, collaborative engineering culture.

• 15+ years of experience in Data Engineering, Data Platform Engineering, Data Architecture, Big Data, or related technology domains.
• Proven experience leading enterprise-scale platform engineering or data engineering teams.
• Strong expertise in modern cloud platforms such as Google Cloud Platform (preferred), AWS, or Microsoft Azure
  .
• Hands-on experience designing and operating enterprise data platforms and cloud-native architectures.
• Strong experience with technologies such as:
• Big Query, Snowflake, Redshift, or similar cloud data warehouses
• dbt Terraform or Infrastructure as Code
• Strong understanding of distributed data processing, ETL/ELT, real-time streaming, orchestration, and modern data architecture patterns.
• Experience implementing enterprise data governance, security, metadata management, observability, and regulatory compliance.
• Excellent stakeholder management and communication skills with the ability to influence senior technology and business leaders.
• Proven track record of building, developing, and leading high-performing engineering teams.

• Experience in banking, financial services, fintech, or other highly regulated industries.
• Experience leading enterprise cloud migration and modernization programs.
• Familiarity with Dev Ops, Git Ops, Platform Engineering, and Site Reliability Engineering (SRE) practices.
• Exposure to AI/ML platforms, MLOps, or enterprise AI infrastructure.
• Experience managing regional or geographically distributed engineering teams.