
Lead Data Architect
5 days ago
In this highly impactful role, you will design and scale end-to-end data platforms built on AWS services. As a leader in data engineering, you will mentor junior engineers and collaborate with cross-functional stakeholders to deliver high-quality, observable data pipelines.
Key Responsibilities
- Owning the architecture of data lakes for 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 open table formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services.
- Driving data productization, enabling API-first 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 environment.
Requirements
- At least 7 years of experience in data engineering.
- Deep 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 at scale, understanding stream processing with Kinesis/Kafka, and orchestration via Airflow or Step Functions.
- Ability to integrate GenAI tools into data engineering processes to drive productivity and quality gains.
Brownie Points
- Experience working in PCI DSS or central bank regulated environments with audit logging and data retention requirements.
- Familiarity with data contracts, data mesh patterns, and data as a product principles.
- Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3.
Culture
- A dynamic and innovative culture that fuels growth, creativity, and collaboration.
- Employee development is key, with training programs, learning on the job, and mentorship opportunities.
- Open communication is valued, along with diversity, spanning across Asia and fostering rich exchange of perspectives.
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