Enterprise Data Architect
Commerce Bank · St Louis, MO · 1 mo ago
Hybrid$105k–$124k/yrFull-time
About the role
The main purpose of this job is to collaborate with the Enterprise Architecture program and business data stakeholders to ensure that the technical architecture and information ecosystem would enable the organization to achieve business outcomes and generate meaningful value from its data assets. The Data Architect is responsible for discovering & documenting the data and analytics requirements for information for all uses and requires a deep understanding of data management, data modeling, data warehousing and emerging data integration technologies.
Responsibilities
- Partner with business and technical leadership to provide strategic recommendations that maximize the value of data assets via their creation, access and use
- Analyze and optimize data models for performance, scalability and cost effectiveness in the cloud.
- Collaborate with IT Architecture, Information Security, and Data Governance stakeholders to define standards and policies for data lifecycle management, data keying strategy, and data obfuscation strategy
- Monitor and assess the benefits and risks of change impacting the data ecosystem (i.e. new system implementations, deployment of new tools and utilities, etc.)
- Actively work to mitigate the negative impact of change affecting the use of data architecture.
- Provide the organization with a future-state view of the business data landscape that minimizes restrictions imposed by proprietary solutions or technologies.
- Collaborate in the process of architectural planning and influence decisions on data architectural design.
- Assist data, analytic, business and IT leaders in developing data governance processes and structures.
- Facilitate design sessions with business and technology stakeholders to understand business needs and requirements.
- Develop and manage data blueprints and information models (i.e. conceptual models, logical models, physical models, relational database designs, dimensional modeling, data vault, message models and others)
- Proactively manage the classification and zoning of data assets sourced from systems, applications, and external third-party information providers to increase time to value
- Aid efforts to improve business performance through enterprise information solutions and capabilities, such as master data management (MDM), metadata management, analytics, content management, data integration, and related information management or information infrastructure components
- Analyze data and analytics security requirements and solutions, and partner with leadership to ensure that enterprise business data and analytics assets are protected.
- Perform other duties as assigned
Requirements
- Strong understanding of system integration, including interface design, and familiarity with web-oriented architecture techniques.
- Strong understanding of data modeling and information