
Corporate Data Architect
Software Mind
full-time
Posted on:
Location Type: Remote
Location: Poland
Visit company websiteExplore more
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data modelingconceptual data modelslogical data modelsphysical data modelsSQLdata integrationdata qualitydata lineagemetadata managementdata architecture
Soft Skills
collaborationconsultationproblem resolutionstrategic planningcommunication