Chief Architect

23 hours ago

General Santos, Soccsksargen, Philippines beBeeData Full time $120,000 - $180,000
Job Overview

We are seeking a highly skilled Technical Lead to architect, implement and scale our end-to-end data platform built on AWS. 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.

Responsibilities
  • Owning the design and scalability of the data lake architecture for both streaming and batch workloads leveraging AWS-native services.
  • Leading the development of ingestion transformation and storage pipelines using AWS Glue DMS Kinesis/Kafka and PySpark.
  • 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.
  • Using Generative AI tools to enhance developer productivity including auto-generating test harnesses schema documentation transformation scaffolds and performance insights.
  • Mentoring data engineers setting technical direction and ensuring 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.
Desirable 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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