
Enterprise Data Architect Specialist
21 hours ago
About us: a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation.
Data Modeler
The Data Architect leads architecture capabilities for the organization. This role includes creating, maintaining, and communicating conceptual and logical enterprise data models and data flow diagrams.
What You'll Be Doing:
- Understand and document current end-to-end data flow diagrams of business subject areas and re-architect data ingestion processes into relevant applications.
- Collaborate with integration engineers and business owners to standardize B2B and B2C data exchange formats.
- Lead the development and implementation of data standards and best practices for data governance, data management, and data quality.
- Assist the team in the cataloging, defining, securing, and measuring of organizational data and information assets.
- Provide guidance on security, privacy, data management, and regulatory compliance around data assets.
- Provide technical vision, leadership, and guidance to architects, analysts, and stewards on the team.
What You'll Bring:
- 10+ years of experience as a data professional.
- 5+ years working with multiple database management software.
- 3+ years serving explicitly in a data architect or data modeler role.
- 3+ years utilizing data modeling tools.
- 3+ years creating conceptual, logical and physical data models.
- Bachelor's degree in relevant area.
- Knowledge of enterprise-level business function/capability and data modeling.
- Prior experience in a complex, highly integrated services environment.
- Prior experience with master data management, metadata management, and/or canonical modeling.
- Familiarity with industry standard and healthcare standard data formats.
- Familiarity with service-based development and technologies.
- Familiarity with nosql platforms.
- Excellent written and oral communication skills.
- Proficiency in MS Office.
- Excellent analytical and problem-solving skills.
- Candidates need to work well in extended project teams with little oversight.
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