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Charterhouse Partnership | Asia

Data Platform Architect (Investment Firm)

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  • Posted 13 days ago
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Job Description

Data Architect (High-Impact Role in a Global Investment Firm)

  • Be a core architect driving a firm-wide data transformation
  • Deep experience with Azure technologies is essential
  • Experience in the buy-side industry is highly advantageous

A top-tier investment firm with a strong technology focus is looking for a Data Platform Architect to lead and be responsible for building highly scalable, resilient infrastructure using the latest in cloud and lakehouse technologies.

Key Responsibilities:

  • Lead the design and implementation of a modern data platform using cloud-native technologies (e.g., Azure, Databricks) and open data formats like Delta and Iceberg.
  • Optimize compute, storage, and orchestration environments (e.g., Databricks clusters, Kubernetes) for performance, cost, and reliability.
  • Collaborate with engineers and data scientists to build secure, efficient data pipelines supporting both batch and real-time processing.
  • Use tools like Terraform or ARM templates to provision and manage infrastructure as code, enabling consistency and scalability.
  • Integrate data lineage, metadata management, and access control mechanisms into platform design to ensure transparency and compliance.
  • Evaluate emerging tools and best practices in data architecture, helping shape the long-term strategy for a future-proof, high-performance data ecosystem.

Ideal Candidate Profile:

  • Bachelor&aposs or Master&aposs degree in Computer Science, Engineering, or a related field.
  • Proven experience in data architecture, platform engineering, or senior data engineering within data-rich environments.
  • Deep hands-on expertise in Azure cloud services, Databricks, and Kubernetes.
  • Strong understanding of data lakehouse architectures and open table formats (e.g., Delta Lake, Apache Iceberg, Parquet).
  • Practical knowledge of infrastructure-as-code tools such as Terraform, Ansible, or similar.
  • Solid grasp of distributed systems, data modeling, and scalable architecture design.
  • Familiarity with streaming frameworks like Kafka or Spark Structured Streaming, and experience managing both batch ETL/ELT pipelines.
  • Strong communication skills with the ability to translate complex technical needs into clear, actionable strategies.

Please contact Jackie Panopio at +65 6950 0369 or [Confidential Information] for a confidential discussion.

EA License no: 16S8066 | Reg no.:R1332082

More Info

Industry:Other

Function:Investment

Job Type:Permanent Job

Date Posted: 18/09/2025

Job ID: 126164221

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Last Updated: 23-09-2025 00:01:38 AM
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