Senior Data Engineer

1 week ago

Makati City, National Capital Region, Philippines beBeeDataPlatformArchitect Full time ₱2,500,000 - ₱3,500,000

Overview

We are seeking a seasoned Data Platform Architect to lead the design, implementation, and scaling of our end-to-end data platform. As a key member of our engineering team, you will be responsible for architecting, implementing, and optimizing our data lake architecture using AWS-native services. This includes owning the design and scalability of the data lake architecture for both streaming and batch workloads.

You will also be leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Additionally, you will be structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services.

As a technical leader, you will drive data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. You will define and track SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment.

Furthermore, you will collaborate with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools, you will enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights.

This role requires at least 7 years of experience in data engineering. The ideal candidate will have 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 is also required.

A strong programming skill in Python (PySpark) and advanced SQL for analytical processing and transformation is necessary. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale is desired. Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions is also an advantage.

Familiarity with data contracts, data mesh patterns, and data as a product principles is a plus. Experience building data platforms for ML/AI teams or integrating with model feature stores is highly valued.

Brownie Points

Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements is beneficial. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection is also advantageous. Familiarity with performance tuning and cost optimization strategies in AWS Glue, Athena, and S3 is highly valued.

About Us

Our company cultivates a dynamic and innovative culture that fuels growth, creativity, and collaboration. 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.

Requirements

The ideal candidate must possess the following skills and qualifications:

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