Data Architect – Governance, Quality

Software Mind

. Design semantic, logical, and conceptual data models based on business domains and organizational processes .

Posted 10/15/2026full-timeRemote • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Governance, Data Quality, and Metadata Management, with a strong ability to design and implement data models and architectures in complex environments. Proficient in collaborating with cross-functional teams to ensure compliance with data policies and standards while driving data architecture development.

Highest-signal resume keywords

Data GovernanceData QualityData ModelingSnowflakeDatabricks

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Hard Skills

Data ModelingSQLPythonData ArchitectureData IntegrationData Quality ProcessesData LineageMetadata ManagementArchitectural DocumentationEvent-Driven Data Architecture

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

DataHubCollibraAlationAtlanAWSGCPAzureGraphQLDbt Semantic LayerSemantic Kernel

Industry Keywords

Data Governance InitiativeData EcosystemsData SecurityData AvailabilityData Control Principles

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformGraphQLPythonSQLVault

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 logical and technical reference architectures and design patterns for data domains
Co-create the strategy and roadmap for data architecture development
Collaborate with Data Governance, Data Management, Analytics, AI, and Data Engineering teams to integrate models with data catalog and metadata management tools
Support technical teams in implementing models in data layers
Participate in designing data integration, flow, and quality processes, including data lineage, data contracts, and data quality
Identify and certify authoritative data sources within organizational domains
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 and develop practices for modeling, metadata, and information architecture
Collaborate on the vision, priorities, and directions for data architecture development
Partner with sales and industry teams on technical presales, including discovery workshops, solution design, estimations, and technical proposal and RFP content
Present architectures and recommendations to client stakeholders from engineering teams to C-level
Design and run proofs of concept and technical demos
Evaluate new approaches and tools such as data mesh, streaming-first, and AI-native platforms, and share findings internally and externally

Requirements

What you’ll need

Experience in Data Governance, Data Quality, Master Data, and Metadata Management projects
Experience in conceptual, logical, and physical data modeling, preferably in a large organization or within complex data ecosystems
Deep knowledge of modern Data Platforms, including Snowflake and Databricks
Practical knowledge of ER, UML, IDEF1X, Data Vault, 3NF, and Kimball/Inmon
Ability to work with data catalogs and metadata management tools such as DataHub, Collibra, Alation, and Atlan
Knowledge of SQL and relational data models
Experience with database systems and data architecture in cloud environments: AWS, GCP, and Azure
Ability to translate business needs into data models with engineering and analytics teams
Understanding of data security, availability, and control principles
Good command of English for reading documentation and community discussions
Knowledge of semantic data layer concepts and technologies, including ontologies, RDF, OWL, GraphQL, dbt Semantic Layer, and Semantic Kernel
Knowledge of Python for automation, model validation, and API integrations
Knowledge of event-driven data architecture
Experience creating and maintaining architectural documentation

Benefits

Comp & perks

Flexible and remote cooperation options
International projects with leading global clients
Travels related to international projects
Non-corporate atmosphere
Access to language classes
Access to knowledge-sharing initiatives
Access to private healthcare and life insurance
Access to multisport card