Data Engineer

• Design semantic, logical, and conceptual data models based on business domains and organizational processes
• Define and standardize the corporate data model as part of the Data Governance initiative
• Create and maintain logical and technical reference architectures and design patterns for data domains
• Co-create the strategy and roadmap for data architecture development
• Collaborate with Data Governance, Data Management, Analytics, AI, and Data Engineering teams to integrate models with data catalog and metadata management tools
• Support technical teams in implementing models in data layers
• Participate in designing data integration, flow, and quality processes, including data lineage, data contracts, and data quality
• Identify and certify authoritative data sources within organizational domains
• Monitor compliance of data solutions with Data Governance policies, standards, and architectural recommendations
• Support resolution of data conflicts and issues
• Create architectural documentation, metamodels, and inter-domain relationship diagrams
• Consult on and develop practices for modeling, metadata, and information architecture
• Collaborate on the vision, priorities, and directions for data architecture development
• Partner with sales and industry teams on technical presales, including discovery workshops, solution design, estimations, and technical proposal and RFP content
• Present architectures and recommendations to client stakeholders from engineering teams to C-level
• Design and run proofs of concept and technical demos
• Evaluate new approaches and tools such as data mesh, streaming-first, and AI-native platforms, and share findings internally and externally

Explore Data Architect – Governance, Quality at Software Mind. Review requirements and application details.

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