Chief Data Architect

1 day ago

Marikina City, National Capital Region, Philippines beBeeData Full time $180,000 - $220,000
Job Title: Technical Lead, Data Platform

As a senior data leader, you will oversee the architecture and implementation of our data platform. This is an exciting opportunity to shape the future of data engineering within our organization.

Key Responsibilities:
  • Design and implement scalable data lake architectures for real-time and batch workloads.
  • Lead the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark.
  • Structuring and evolving data into optimal formats to support real-time and time-travel queries.
  • Drive data productization, enabling API-first and self-service access to curated datasets.
  • Define and track SLAs and SLOs for critical data pipelines.
  • Collaborate with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance.
  • Utilize Generative AI tools to enhance developer productivity.
  • 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.
  • 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.
  • Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders.
Preferred Qualifications:
  • Experience working in a PCI DSS or any other central bank regulated environment.
  • Experience in the payments or banking domain.
  • 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.
Culture:
  • We foster a dynamic and innovative culture that encourages growth, creativity, and collaboration.
  • We prioritize employee development, supporting continuous learning and growth.
  • We encourage open communication, idea sharing, and ownership.
  • Embracing diversity, our team spans across Asia, fostering a rich exchange of perspectives and experiences.

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