Data Platform & Integration Solution

CIMB Niaga; Tangerang Selatan; On-site; IDR 600,000,000 - 900,000,000; Full time

Job summary

CIMB Niaga is seeking a seasoned data platform architect to design and govern a scalable enterprise data platform that unifies real-time and batch data, supports API-based data services, and aligns with the company’s technology roadmap. You will lead the data integration strategy, governance, and platform delivery across multiple business domains.

The role focuses on building secure, cost-efficient data pipelines using CDC, Kafka, Flink, and cloud-native services, enabling data products for

Responsibilities

• Design a scalable, secure, and resilient enterprise data platform architecture.
• Define data integration standards for real-time, near-real-time, and batch processing needs.
• Develop a data platform blueprint aligned with the technology roadmap and business needs.

Skills

Data architecture

ETL/ELT design

Kafka

GCP

Cloud Run

CI/CD

API design

Data governance

Education

Bachelor's in Computer Science or related field

Tools

BigQuery

Kafka

Flink

Cloud Run

CI/CD tools

Job description

Responsible for designing, building, and managing an enterprise data platform that integrates real-time and batch data, shapes enterprise data models, and provides data and services through APIs and application serving layers to support operational, analytical, and digital business needs.

Key Responsibilities:

• Design a scalable, secure, and resilient enterprise data platform architecture.
• Define data integration standards for real-time, near-real-time, and batch processing needs.
• Develop a data platform blueprint aligned with the company's technology roadmap and business needs.

Real-Time Data Integration

• Design and implement CDC-based data ingestion (Change Data Capture).
• Develop an event streaming architecture using Kafka and Flink.
• Ensure near-real-time data flows meet established SLAs, reliability, and data consistency.

Batch Data Integration

• Integrate batch data sources from BigQuery and other systems.
• Design an efficient and scalable ETL/ELT process.
• Optimize data processing performance and costs.
• Design conceptual, logical, and physical data models.
• Develop data marts, canonical models, and data products that can be used across various business domains.
• Ensure data governance, metadata, and data quality standards are implemented across all platforms.
• Data Serving & API Enablement
• Design and manage an API Gateway as a single entry point for data and service consumption.
• Develop a service layer using Cloud Run or other container platforms.
• Provide secure, documented, and easy-to-use APIs and data services for internal and external applications.
• Manage the implementation of cloud-native solutions based on Google Cloud Platform.
• Build CI/CD, monitoring, logging, and observability for all platform components.
• Ensure platform security, availability, scalability, and cost optimization.

Data Serving & API Enablement

• Design and manage an API Gateway as a single entry point for data and service consumption.
• Develop a service layer using Cloud Run or other container platforms.
• Provide secure, documented, and easy-to-use APIs and data services for internal and external applications.
• Manage the implementation of cloud-native solutions based on Google Cloud Platform.
• Build CI/CD, monitoring, logging, and observability for all platform components.
• Ensure platform security, availability, scalability, and cost optimization.

Governance & Collaboration

• Collaborate with application teams, data engineering, analytics, and business stakeholders.
• Develop architectural standards, best practices, and technical documentation.
• Provide technical guidance to engineers and vendors involved in platform development.