
Data Platform Architect
1 week ago
We are seeking a Technical Lead to lead the development of our data platform built on AWS S3, Glue, Lake Formation, and DMS. The successful candidate will be responsible for architecting, implementing, and scaling the end-to-end data platform.
Key Responsibilities:
- Design and develop ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark.
- Structure and evolve data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services.
- Drive data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases.
- Collaborate with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance.
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.
Benefits:
- Opportunity to work with a leading embedded finance platform.
- Chance to drive innovation and growth in fintech and e-commerce.
MatchMove Culture:
- Dynamic and innovative culture that fuels growth, creativity, and collaboration.
- Focus on employee development, supporting continuous learning and growth through training programs.
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