Data Platform Architect

2 weeks ago

Jakarta, Indonesia Amar Bank Full time

The Senior Data Platform Engineer is responsible for the design, development, and oversight of Amar Bank’s end-to-end data platform architecture with a strong emphasis on enterprise-grade design, operational excellence, scalability, and security. This role is critical in aligning the data infrastructure with business goals, ensuring high availability, and integrating Amarbank’s Unified Control Plane (UCP).

**Responsibilities**:

- Architect and implement a robust and scalable data platform leveraging GCP-native services such as BigQuery, Dataflow, Pub/Sub, Cloud Composer, and GKE.
- Lead the design and delivery of the Unified Customer Profile (UCP) initiative by integrating data across multiple sources into a single trusted view.
- Define and enforce enterprise data architecture standards related to schema design, ingestion, transformation, security, and lineage.
- Work closely with cross-functional stakeholders in Data, Product, Engineering, and Cybersecurity to align UCP architecture with business goals.
- Optimize cloud resource usage and ensure cost-efficient operations of the data platform.
- Implement and maintain Infrastructure-as-Code for repeatable deployments using Terraform or Deployment Manager.
- Drive the adoption of observability, monitoring, and automated alerting within the data platform ecosystem.
- Ensure data governance through policy-based access, auditability, classification, and metadata tracking.
- Mentor junior engineers and guide platform evolution to support both real-time and batch processing patterns.
- Monitor and troubleshoot performance issues in data platforms, providing timely resolution and optimization strategies.
- Provide mentorship and technical leadership to the data engineering team, ensuring skill development and knowledge sharing.

**Requirements**:

- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 7+ years of experience in data/platform engineering, with 3+ years working on GCP.
- Proven expertise with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Composer, GKE.
- Strong skills in Infrastructure-as-Code (Terraform or Deployment Manager).
- Experience designing and managing scalable batch and streaming data pipelines.
- Solid understanding of data governance, security, access control, and observability.
- Proficient in Python, SQL, and data modeling; familiarity with Java/Go is a plus.
- Demonstrated leadership in cross-functional projects and mentoring engineers.
- Comfortable working in fast-paced, agile environments with a focus on results.
- GCP certification and knowledge of modern data tools (e.g., dbt, Airflow, DataHub) are a plus.

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