Data Engineering Architectural Leader

1 day ago

Caloocan City, National Capital Region, Philippines beBeeDataEngineering Full time $180,000 - $200,000
Job Description

We are seeking an experienced Data Engineering Architectural Leader to join our team. As a key member of our engineering organization, you will be responsible for designing and implementing scalable data architectures that meet the needs of our business.


Responsibilities
  • Owning the design and scalability of data lake architecture for both streaming and batch workloads.
  • Leading the development of ingestion, transformation, and storage pipelines using AWS native services.
  • Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services.
  • Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases.
  • Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment.
  • Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM).

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.

Benefits
  • We cultivate 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.

Others
  • Growth opportunities abound in our fast-paced fintech environment.

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