Corporate Data Architect

Software Mind

Corporate Data Architect designing and developing data architecture for analytical solutions in a global tech firm. Collaborating with various teams to support data governance and quality initiatives.

Posted 5/14/2026full-timeRemote • 🇵🇱 PolandMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudSQLVault

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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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Hard Skills & Tools

data modelingconceptual data modelslogical data modelsphysical data modelsSQLdata integrationdata qualitydata governancedata architecturemetadata management

Soft Skills

collaborationconsultationproblem resolutionstrategic thinkingcommunication