GCP Data Architect

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 end‑to‑end role starts with presales and architecture – gathering requirements, designing solutions, establishing governance frameworks – then progresses to implementing your designs through to MVP delivery.

Our Focus
:
Banking and Financial Services clients with stringent regulatory requirements (Basel III, MAS TRM, PCI‑DSS, GDPR). You’ll architect data lake solutions for critical use cases such as AML reporting, KYC data management, and regulatory compliance – ensuring robust data governance, metadata management, and data quality frameworks.

Your Impact
:
Design end‑to‑end data architectures combining GCP data services (Big Query, Dataflow, Data Catalog, Dataplex) with on‑premise systems (e.g., Oracle). Establish data governance frameworks with cataloging, lineage, and quality controls. Then build your designs – implementing data pipelines, governance tooling, and delivering working MVPs for mission‑critical banking systems.

Duration
:
Part‑time long‑term engagement with project‑based allocations.

Reporting
:
Direct report to Head of Cloud.

• 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.

• Design data architecture comprehensive documentation and governance framework.
• Deliver MVP from architecture to working implementation.
• Establish data governance implementations including metadata catalogs, lineage tracking, and quality monitoring.
• Achieve 80%+ client acceptance rate on proposed data architectures and technical specifications.
• Implement data pipelines with data quality and comprehensive monitoring.
• Create reusable architectural patterns and IaC modules for banking data lakes and regulatory reporting systems.
• Document solutions aligned with banking regulations (Basel III, MAS TRM, AML/KYC requirements).
• Deliver cost models and ROI calculations for data lake implementations.

• Elicit and document requirements for data lake, reporting systems, and analytics platforms.
• Design end‑to‑end data architectures: ingestion patterns, storage strategies, processing pipelines, consumption layers.
• Create architecture diagrams, data models (dimensional, data vault), technical specifications, and implementation roadmaps.
• Data Governance Design:
  Design metadata management frameworks, data cataloging strategies, data lineage implementations, data quality monitoring.
• Evaluate technology options and recommend optimal GCP and on‑premise data services for specific banking use cases.
• Calculate ROI, TCO, and cost‑benefit analysis for data lake implementations.
• Banking Domain:
  Design solutions for AML reporting, KYC data management, regulatory compliance, risk reporting.
• Hybrid Cloud Architecture:
  Design integration patterns between GCP and on‑premise platforms (e.g., Oracle, SQL Server).
• Security & compliance architecture: IAM, VPC Service Controls, encryption, data residency, audit logging.
• Participate in presales activities: technical presentations, client workshops, demos, proposal support.
• Create detailed implementation roadmaps and technical specifications for development teams.

• Build production data pipelines based on approved architectures.
• Implement data warehouses: schema creation, partitioning, clustering, optimization, security setup.
• Deploy data governance frameworks:
  Dat…