Overview

Our client is seeking a Data Architect to define and design the target-state data architecture supporting analytics, AI enablement, data product development, and lifecycle management. This role ensures that data systems are scalable, well-governed, secure, and aligned with enterprise technology standards. Client: Our client is an international association of financial industry professionals, bringing together over 200,000 investment experts worldwide. The organization operates more than one hundred applications and is embarking on a major initiative to modernize and upgrade its systems. Project Overview:

Responsibilities:
  • Define enterprise data architecture for ingestion, modeling, integration, metadata, lineage, and data products
  • Partner with product and IT teams to design data pipelines, canonical data models, and reusable data products
  • Guide design choices in support of modernization programs, including data retention and lifecycle standards
  • Develop architectural patterns for data quality controls, monitoring, and lifecycle management
  • Support ingestion and modeling of critical enterprise datasets across customer, product, operations, finance, and marketing domains
  • Ensure architecture supports AI infrastructure, security requirements, and compliance obligations
Required Qualifications:
  • 7+ years of experience in data architecture, data engineering, or enterprise architecture roles
  • Expertise in cloud data platforms, modern data stacks, and event- or API-driven integrations
  • Experience with data governance, metadata management, and data quality frameworks
  • Strong communication skills with the ability to collaborate effectively with senior technical and business stakeholders
Note:

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