Chief Data Architect

21 hours ago

Cebu City, Central Visayas, Philippines beBeeData Full time ₱1,200,000 - ₱1,800,000
Job Description

We are seeking a skilled Technical Lead to join our team and lead the design, implementation, and scaling of our end-to-end data platform. As a Technical Lead, you will be responsible for architecting, implementing, and scaling our data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business.

You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight.

Requirements
  • At least 7 years of experience in data engineering.
  • Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum.
  • Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs.
  • Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation.
  • Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale.
  • Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions.
  • Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments.
  • Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains.
Brownie Points
  • Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements.
  • Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection.
  • Familiarity with data contracts, data mesh patterns, and data as a product principles.
  • Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases.
About Us

We cultivate a dynamic and innovative culture that fuels growth, creativity, and collaboration. Our fast-paced fintech environment thrives on adaptability, agility, and open communication.

We focus on employee development, supporting continuous learning and growth through training programs, learning on the job and mentorship.

We encourage speaking up, sharing ideas, and taking ownership. Embracing diversity, our team spans across Asia, fostering a rich exchange of perspectives and experiences.

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