[C3I] Data Architect - Governance & Quality

Project – the aim you’ll have

We are the Data & Analytics Global Capability at Software Mind. We design, build and maintain data and analytics solutions for clients across industries: financial services, telco, media & entertainment, retail, manufacturing, gaming, healthcare and more. Our projects run on modern data platforms, mainly Snowflake and Databricks on Azure, AWS and GCP, as well as on-premises and hybrid environments.

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We are looking for a Data Architect / Data Governance expert who will help organize and standardize how the organization understands and uses data. Your main task will be to design and develop data architecture at the level of the entire organization so that data is consistent, well defined, and ready to be used in analytics, AI, and system integrations. You will act as a bridge between the worlds of business, data, and technology, connecting strategy, standards, and practice.

Role – how you’ll contribute

• 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 reference architecture (logical and technical reference architectures) and design patterns for data domains.
• Co-create the strategy and roadmap for data architecture development that supports the vision of the Data Governance program and organizational goals.
• Collaborate with Data Governance, Data Management, Analytics, AI, and Data Engineering teams to integrate models with the data catalog and metadata management tools.
• Support technical teams in implementing models in data layers.
• Participate in designing data integration, flow, and quality processes (data lineage, data contracts, data quality).
• Identify and certify authoritative data sources within organizational domains.
• Monitor the compliance of data solutions with Data Governance policies and standards as well as architectural recommendations.
• Support the resolution of data conflicts and issues.
• Create architectural documentation, metamodels, and inter-domain relationship diagrams.
• Consult on and develop good practices in the area of modeling, metadata, and information architecture.
• Collaborate on defining the vision, priorities, and directions for the development of data architecture in the organization.

Presales & Client Advisory:
• Partner with sales and industry teams as technical presales: discovery workshops, solution design, estimations and the technical parts of proposals and RFPs.
• Present architectures and recommendations to client stakeholders, from engineering teams to C-level.
• Design and run PoCs and technical demos.
• Evaluate new approaches and tools (data mesh, streaming-first, AI-native platforms) and share what you learn internally and externally.

Department: Data Science & Engineering
Function: Information Technology
Experience Level: Mid-Senior Level