Leading Data Platform Architect

2 days ago

Quezon City, National Capital Region, Philippines beBeeDataPlatform Full time $180,000 - $250,000
Job Overview

Our organization is seeking a seasoned Data Platform Architect to spearhead the design, development, and scaling of our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS.


Key Responsibilities:
  • Develop a robust data lake architecture for both streaming and batch workloads, leveraging AWS-native services.
  • Lead the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark.
  • Structure and evolve data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services.
  • Drive data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases.
  • Define and track SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment.
  • Collaborate with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM).
  • Use Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights.
  • Mentor data engineers, set technical direction, and ensure delivery of high-quality, observable data pipelines.

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 — with strong engineering hygiene.
  • Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders.

Preferred Skills:
  • 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.
  • Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3.
  • Experience building data platforms for ML/AI teams or integrating with model feature stores.

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