[C3I] Data Architect - Governance & Quality

Software Mind develops solutions for tech giants and unicorns globally, focusing on transformative projects and emerging technologies. They build cross-functional engineering teams with a culture embracing openness, respect, grit, and cooperation.

• Experience in Data Governance, Data Quality, Master Data, and Metadata Management projects.
• Experience in data modeling (conceptual, logical, physical) especially in large or complex ecosystems.
• Deep knowledge of modern data platforms like Snowflake and Databricks.
• Practical knowledge of ER, UML, IDEF1X, Data Vault, 3NF, Kimball/Inmon methodologies.
• Ability to use data catalogs and metadata management tools such as DataHub, Collibra, Alation, Atlan.
• Knowledge of SQL and relational data models.
• Experience with database systems and data architecture in cloud environments (AWS, GCP, Azure).
• Ability to translate business needs into data models collaborating with engineering and analytics teams.
• Understanding of data security, availability, and control principles.
• Good command of English for reading documentation and discussions.

Nice to have:

• Knowledge of semantic data layer concepts and technologies: ontologies, RDF, OWL, GraphQL, dbt Semantic Layer, Semantic Kernel.
• Knowledge of Python for automation, model validation, and API integrations.
• Knowledge of event-driven data architectures.
• Experience creating and maintaining architectural documentation.

• Design semantic, logical, and conceptual data models based on business domains and processes.
• Define and standardize the corporate data model as part of Data Governance.
• Create and maintain reference architecture and design patterns for data domains.
• Co-create strategy and roadmap for data architecture aligned with Data Governance and organizational goals.
• Collaborate with Data Governance, Data Management, Analytics, AI, and Data Engineering teams integrating models with data catalog and metadata tools.
• Support technical teams in implementing data models.
• Participate in designing data integration, flow, and quality processes including data lineage, contracts, and quality.
• Identify and certify authoritative data sources.
• 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 best practices in modeling, metadata, and information architecture.
• Collaborate on vision, priorities, and directions for organizational data architecture development.
• Partner with sales and industry teams for presales activities including workshops, solution design, estimations, proposals, and RFPs.
• Present architectures and recommendations to client stakeholders including C-level.
• Design and run proofs of concept and technical demos.
• Evaluate and share insights on new approaches and tools such as data mesh, streaming-first, and AI-native platforms.