Corporate Data Architect

📋 Description

• Develop semantic, logical, and conceptual data models tailored to business domains and organizational processes.

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

• Design and uphold reference architecture (both logical and technical) and design patterns for various data domains.

• Collaboratively formulate the strategy and roadmap for data architecture development that aligns with the vision of the Data Governance program and organizational objectives.

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

• Assist technical teams in implementing models within data layers.

• Engage in the design of data integration, flow, and quality processes (including data lineage, data contracts, and data quality).

• Identify and certify authoritative data sources across organizational domains.

• Oversee the compliance of data solutions with Data Governance policies and standards, along with architectural recommendations.

• Aid in resolving data conflicts and related issues.

• Produce architectural documentation, metamodels, and diagrams illustrating inter-domain relationships.

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

• Collaborate in defining the vision, priorities, and direction for the advancement of data architecture within the organization.

⛳️ Requirements

• Demonstrated experience in data modeling (conceptual, logical, physical), ideally within a large organization or complex data ecosystems.

• Proficient knowledge of tools and methodologies such as ER, UML, IDEF1X, Data Vault, 3NF, and Kimball/Inmon.

• Capability to work with data catalogs and metadata management tools (e.g. DataHub, Collibra, Alation, Atlan).

• Familiarity with SQL and relational data models.

• Experience with database systems and data architecture in a cloud environment (AWS).

• Ability to collaborate with engineering and analytics teams to convert business needs into data models.

• Understanding of principles related to data security, availability, and control.

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

🏝️ Benefits

• Flexible employment options and remote work opportunities.

• Engagement in international projects with prominent global clients.

• Opportunities for international business travel.

• A non-corporate work atmosphere.

• Access to language classes.

• Internal and external training programs.

• Private healthcare and insurance coverage.

• Multisport card benefits.

• Well-being initiatives to support employee health.