About The Project
Join Neurons Lab as a Senior GCP Data Architect working on banking data lake and reporting systems for large financial institutions. This is an end-to-end role where you'll start with presales and architecture - gathering requirements, designing solutions, establishing governance frameworks - then progress to implementing your designs through to MVP delivery.
Objective
- Architecture Excellence: Design data lake architectures, create technical specifications, lead requirements gathering and solution workshops
- MVP Implementation: Build your designs - implement data pipelines, deploy governance frameworks, deliver working MVPs with data quality
- Data Governance: Establish and implement comprehensive governance frameworks including metadata management, data cataloging, data lineage, and data quality standards
- Client Success: Own the full lifecycle from requirements to MVP delivery, ensuring secure, compliant, scalable solutions aligned with banking regulations and GCP best practices
- Knowledge Transfer: Create reusable architectural patterns, data governance blueprints, implementation code, and comprehensive documentation
Skills & Knowledge
Certifications & Core Platform:
- GCP Professional Cloud Architect (strong plus, not mandatory)
- GCP Professional Data Engineer (alternative certification)
- Core GCP data services: BigQuery, Dataflow, Pub/Sub, Data Catalog, Dataplex, Dataform, Composer, Cloud Storage, Data Fusion
Must-Have Technical Skills:
- Data Architecture (expert level)
- Data Governance (expert level)
- SQL (advanced-expert level)
- Data Modeling (expert level)
- ETL/ELT Implementation (advanced level)
- Python (advanced level)
- Data Quality (advanced level)
BFSI Domain Knowledge (MANDATORY):
- Banking data domains: AML (Anti-Money Laundering), KYC (Know Your Customer), regulatory reporting, risk management
- Financial regulations: Basel III, MAS TRM (Monetary Authority of Singapore Technology Risk Management), PCI-DSS, GDPR