Highly Experienced Data Architect Wanted

2 weeks ago

Singapore beBeeDataEngineering Full time $150,000 - $200,000

Data Engineering Leader

Job Overview

We are seeking an experienced Data Engineer Lead to spearhead the development of a cutting-edge real-time data platform.

  • Design and architect a scalable, petabyte-capable data platform that supports daily transactional data processing.
  • Establish a cloud-native data warehouse system integrated with Spark/Flink for unified stream and batch processing.
  • Collaborate with business teams to design data masking workflows and audit solutions ensuring compliance with PCI DSS standards.
  • Create and maintain data dashboards to support business-driven decision-making.
  • Integrate with payment systems to ensure seamless data flow and consolidation.
  • Ensure high-quality data collection, processing, modeling, and structuring to improve usability.
  • Support cross-functional data needs, promote standardization, and drive automation initiatives.
Requirements

To succeed in this role, you must have:

  • More than 5 years of experience in data engineering or data warehousing, with a proven ability to independently build complex data platforms.
  • Familiarity with leading big data technology stacks and expertise in performance tuning for Hadoop/Spark/Flink (e.g., shuffle optimization, checkpoint mechanism).
  • Strong skills in data modeling (Dimensional/Star Schema), ETL processes, and data governance.
  • A preferred background in payments, finance, or internet industries; knowledge of payment data structures is beneficial.
  • Exceptional communication, collaboration, and business understanding skills, with the ability to effectively work with product, risk, and compliance teams.
Preferred Qualifications

We welcome candidates with:

  • Experience in data-related roles within fintech or payment companies
  • Hands-on experience building data platforms or dashboards from scratch.
  • Familiarity with compliance-related data processing policies and workflows.

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