Software Mind

Corporate Data Architect

Software Mind

full-time

Posted on:

Location Type: Remote

Location: Poland

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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