Data Architect – Governance, Quality

This is a fully remote position, open to applicants in Poland.

📋 Description

• Develop semantic, logical, and conceptual data models that align with business domains and organizational processes.

• Establish and standardize the corporate data model as part of the Data Governance initiative.

• Design and maintain logical and technical reference architectures and design patterns for data domains.

• Collaborate in crafting the strategy and roadmap for the evolution of data architecture.

• Work alongside Data Governance, Data Management, Analytics, AI, and Data Engineering teams to integrate models with data catalog and metadata management tools.

• Assist technical teams in deploying models within data layers.

• Engage in the design of data integration, flow, and quality processes, which include data lineage, data contracts, and data quality.

• Identify and certify authoritative data sources within various organizational domains.

• Oversee compliance of data solutions with Data Governance policies, standards, and architectural guidelines.

• Aid in resolving data conflicts and issues.

• Generate architectural documentation, metamodels, and diagrams representing inter-domain relationships.

• Provide consultation and develop best practices for modeling, metadata, and information architecture.

• Collaborate on the vision, priorities, and directions for advancing data architecture.

• Partner with sales and industry teams on technical presales activities, including discovery workshops, solution design, estimations, and producing technical proposals and RFP content.

• Present architectures and recommendations to client stakeholders ranging from engineering teams to C-level executives.

• Design and conduct proofs of concept and technical demonstrations.

• Assess new methodologies and tools such as data mesh, streaming-first approaches, and AI-native platforms, and disseminate findings both internally and externally.

⛳️ Requirements

• Proven experience in Data Governance, Data Quality, Master Data, and Metadata Management initiatives.

• Familiarity with conceptual, logical, and physical data modeling, ideally within a large organization or complex data ecosystems.

• Extensive knowledge of contemporary Data Platforms, including Snowflake and Databricks.

• Practical understanding of ER, UML, IDEF1X, Data Vault, 3NF, and Kimball/Inmon methodologies.

• Competence in working with data catalogs and metadata management tools such as DataHub, Collibra, Alation, and Atlan.

• Proficiency in SQL and relational data models.

• Experience with database systems and data architecture in cloud environments, including AWS, GCP, and Azure.

• Ability to translate business requirements into data models in collaboration with engineering and analytics teams.

• Insight into data security, availability, and control principles.

• Strong command of English for reading documentation and engaging in community discussions.

• Understanding of semantic data layer concepts and technologies such as ontologies, RDF, OWL, GraphQL, dbt Semantic Layer, and Semantic Kernel.

• Knowledge of Python for automation, model validation, and API integrations.

• Familiarity with event-driven data architecture.

• Experience in creating and maintaining architectural documentation.

🏝️ Benefits

• Flexible and remote work options.

• Engagement in international projects with leading global clients.

• Opportunities for travel related to international projects.

• A non-corporate atmosphere.

• Access to language classes.

• Participation in knowledge-sharing initiatives.

• Access to private healthcare and life insurance.

• Availability of a multisport card.