Senior Data Architect

2 weeks ago

Imus, Calabarzon, Philippines beBeeDataPlatform Full time $180,000 - $250,000

Immerse yourself in a cutting-edge fintech environment where innovation and collaboration thrive.

About the Role

This senior position oversees the design and implementation of a data platform built on AWS. As Technical Lead, Data Platform, you will spearhead a team of engineers while working closely with stakeholders from fraud, finance, product, and engineering to deliver reliable, timely, and secure data access across the business.

  • You will lead architectural decisions, drive technical direction, and ensure high-quality data pipelines that meet stringent standards for scalability and performance.

We leverage GenAI tools to enhance developer productivity and accelerate time to insight.

Requirements

To excel in this role, you need:

  • At least 7 years of experience in data engineering.
  • Deep hands-on expertise 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

Bonus points for:

  • 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.
Culture

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 and mentorship.

Together, we harness the power of fintech and e-commerce to make a meaningful impact on people's lives.

Employment Details

This is a mid-senior level, full-time position.

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