16 days old

Enterprise Data Architect

Des Plaines, IL 60018
  • Job Code


The Enterprise Data Architect is responsible and accountable for the application data architecture strategy, data architecture vision, and application data modeling across the enterprise. Primary responsibilities include developing application data architecture strategy, developing application data reference models, leading application data architecture software evaluations, assessing impact of change to application data architectures, data models, messaging models, and developing a master data management strategy. This role also includes responsibility of architecture delivery and governance to ensure alignment to data architecture standards and vision. Solution architectures will include data models, standard interfaces for data access and value-added data services, metadata, master data including an inventory of data, and follow best practices for data creation, usage, and messaging exchange.


  • Owns overall data architecture across all domains, prepares, and communicates changes from the business standpoint.
  • Defines roadmap, strategy and architecture blueprint for data domain (BI/EDW/Big Data).
  • Applies enterprise architecture principles, standards, and enterprise strategy development.
  • Evaluates and assesses existing legacy data assets with an eye on modernization and simplification.
  • Build and articulate a data architecture and delivery roadmap indicating current, transition, and future state architectures, focused around clear benefits to both IT and business users.
  • Manage data architecture governance, controls, and peer reviews in regards to data, security, and cloud.
  • Develop and manage data architecture quality controls for data governance.
  • Develop and implement a master data management strategy that identifies single authoritative data sources (single version of truth) for all value chain processes.
  • Develop architecture reference models for data governance and control.
  • Lead software evaluations including RFP development, capabilities assessment, formal scoring models, and delivery of executive presentations supporting final recommendations.
  • Create design patterns and best practices for data and the integration of data through the enterprise.
  • Create reference architecture and roadmap necessary to hold architecture delivery to the level of quality.
  • Create new conceptual, logical and physical models to deliver new requirements (top down approach).


  • Well versed in the data domains (Analytics, BI, Big Data, Operational Data Store, Metadata, Master Data, and Unstructured Data).
  • Hands-on ability to build and manage enterprise data models, leveraging both industry and application specific service models.
  • Experience with unstructured or semi-structured data design and implementation.
  • Hands on experience with data profiling tools and processes.
  • Expert knowledge of normalized and dimensional modeling techniques.
  • Experienced in SOA, with a deep understanding of web services (XSDs, WSDLs) used within an enterprise service bus.
  • Demonstrated expertise with transformation techniques, including but not limited to transformation, aggregation, decomposition, abstraction, and canonicalization.
  • Demonstrated expertise in defining and implementing distributed enterprise component-based architecture and frameworks to support abstraction.


  • 7-10+ years in similar role.
  • Health Insurance experience is preferred.
  • Data modeling, reverse-engineering, and profiling tools, e.g. ERwin, Embarcadero, Data Explorer, Data Flux.
  • 5 years' experience of solution design associated with data modeling, message modeling, and integration.
  • Additional 3-5 years working in another role within an IT delivery team, such as a developer, business / data analyst, quality assurance analyst, ETL developer, and / or DBA.


  • Information Technology

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Enterprise Data Architect

Randstad Technologies
Des Plaines, IL 60018

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Randstad Technologies
Des Plaines, IL

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