Corporate Data Architect

🕒 4 days ago

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Logo of Software Mind

Software Mind

1001 - 5000 employees

Founded 1999

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

💰 Private Equity Round on 2020-12

Artificial Intelligence • SaaS • Telecommunications

Software Mind is a technology company that specializes in software development and digital transformation services. With a focus on AI and cloud solutions, the company offers a wide range of services including custom software development, mobile app development, and cloud consulting. Software Mind serves various industries such as financial services, telecom, biotech, and media, providing tailored solutions to accelerate digital transformations and business growth globally.

📋 Description

• 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.

🎯 Requirements

• Experience in data modeling (conceptual, logical, physical), preferably in a large organization or within complex data ecosystems. • Practical knowledge of tools and methodologies such as ER, UML, IDEF1X, Data Vault, 3NF, Kimball/Inmon. • Ability to work with data catalogs and metadata management tools (e.g. DataHub, Collibra, Alation, Atlan). • Knowledge of SQL and relational data models. • Experience working with database systems and data architecture in a cloud environment (AWS). • Ability to work with engineering and analytics teams to translate business needs into data models. • Understanding of data security, availability, and control principles. • Good command of English (reading documentation, community discussions).

🏖️ Benefits

• Flexible employment and remote work • International projects with leading global clients • International business trips • Non-corporate atmosphere • Language classes • Internal & external training • Private healthcare and insurance • Multisport card • Well-being initiatives

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