SOFTWARE MIND

[C3I] Data Architect - Governance & Quality

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SeniorZdalnie·WarszawaFull-time

#459675·Dodano 21 dni temu·24

Źródło: Software Mind

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Tech Stack / Keywords

Snowflake Databricks Azure AWS GCP SQL PythonDataHubCollibra

Firma i stanowisko

Software Mind develops solutions for tech giants and unicorns globally, focusing on transformative projects and emerging technologies. They build cross-functional engineering teams with a culture embracing openness, respect, grit, and cooperation.

Wymagania

Experience in Data Governance, Data Quality, Master Data, and Metadata Management projects.
Experience in data modeling (conceptual, logical, physical) especially in large or complex ecosystems.
Deep knowledge of modern data platforms like Snowflake and Databricks.
Practical knowledge of ER, UML, IDEF1X, Data Vault, 3NF, Kimball/Inmon methodologies.
Ability to use data catalogs and metadata management tools such as DataHub, Collibra, Alation, Atlan.
Knowledge of SQL and relational data models.
Experience with database systems and data architecture in cloud environments (AWS, GCP, Azure).
Ability to translate business needs into data models collaborating with engineering and analytics teams.
Understanding of data security, availability, and control principles.
Good command of English for reading documentation and discussions.

Nice to have:

Knowledge of semantic data layer concepts and technologies: ontologies, RDF, OWL, GraphQL, dbt Semantic Layer, Semantic Kernel.
Knowledge of Python for automation, model validation, and API integrations.
Knowledge of event-driven data architectures.
Experience creating and maintaining architectural documentation.

Obowiązki

Design semantic, logical, and conceptual data models based on business domains and processes.
Define and standardize the corporate data model as part of Data Governance.
Create and maintain reference architecture and design patterns for data domains.
Co-create strategy and roadmap for data architecture aligned with Data Governance and organizational goals.
Collaborate with Data Governance, Data Management, Analytics, AI, and Data Engineering teams integrating models with data catalog and metadata tools.
Support technical teams in implementing data models.
Participate in designing data integration, flow, and quality processes including data lineage, contracts, and quality.
Identify and certify authoritative data sources.
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 best practices in modeling, metadata, and information architecture.
Collaborate on vision, priorities, and directions for organizational data architecture development.
Partner with sales and industry teams for presales activities including workshops, solution design, estimations, proposals, and RFPs.
Present architectures and recommendations to client stakeholders including C-level.
Design and run proofs of concept and technical demos.
Evaluate and share insights on new approaches and tools such as data mesh, streaming-first, and AI-native platforms.

Benefity

Flexible and remote cooperation options.
International projects with leading global clients.
Travel opportunities related to international projects.
Non-corporate atmosphere.
Access to language classes (availability depends on cooperation form).
Access to knowledge-sharing initiatives (availability depends on cooperation form).
Access to private healthcare and life insurance (availability depends on cooperation form).
Access to multisport card (availability depends on cooperation form).

Elastyczne godziny

SOFTWARE MIND

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