Corporate Data Architect (AI)

TL;DR

Corporate Data Architect: Designing and developing data architecture at the level of the entire organization with an accent on consistency and readiness for analytics, AI, and system integrations. Focus on bridging business, data, and technology to connect strategy, standards, and practice.

Location: Remote (Poland, Latam, MD/RO)

Company

hirify.global develops and maintains analytical solutions for digital services, building a modern data ecosystem based on a range of technologies and the AWS cloud.

What you will do

• 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 and design patterns for data domains.
• Collaborate with Data Governance, Data Management, Analytics, AI, and Data Engineering teams to integrate models with the data catalog and metadata management tools.
• Participate in designing data integration, flow, and quality processes.
• Create architectural documentation, metamodels, and inter-domain relationship diagrams.

Requirements

• Experience in data modeling, 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.
• Knowledge of SQL and relational data models.
• Experience working with database systems and data architecture in a cloud environment (AWS).
• Good command of English (reading documentation, community discussions).

Nice to have

• Experience in Data Governance, Data Quality, Master Data, and Metadata Management projects.
• Knowledge of concepts and technologies related to the semantic data layer: ontologies, RDF, OWL, GraphQL, dbt Semantic Layer, Semantic Kernel.
• Knowledge of Python for automation, model validation, and API integrations.
• Knowledge of event-driven data architecture.
• Experience in creating and maintaining architectural documentation.

Culture & Benefits

• Flexible employment and remote work options available.
• Opportunity to work with the latest technologies for industry leaders.
• Involvement in international projects with leading global clients.
• Comfortable work environment with a relaxed, non-corporate atmosphere and no enforced dress code.
• Skill development opportunities through language classes, skill centers, and webinars.
• Comprehensive healthcare and insurance options, including a monthly sports budget for various activities.