Data Platform Architectural Specialist

7 days ago

Rizal, Philippines beBeeEngineering Full time $150,000 - $200,000
Job Title:

Technical Lead in Data Engineering


Job Description: As a Technical Lead Engineer - Data, you will design and implement an end-to-end data platform using AWS services. You will lead a small team of engineers while working cross-functionally with stakeholders from various departments to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability while leveraging Generative AI tools to improve engineering productivity and accelerate time to insight.

About Us: We provide innovative solutions for businesses to embed financial services into their applications. Our clients can drive growth and enhance customer experiences using our products. We empower businesses with financial services that are integrated into their platforms.

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.
  • Using Generative AI tools to enhance developer productivity.
  • 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 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.
  • Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders.


Brownie Points:
  • Experience working in a PCI DSS 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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