Data Architect @ Devire Remote

Data Architect @ Devire

Remote

• Proven experience designing and implementing a standardized marketing metadata framework
• Expertise in designing scalable, modular marketing taxonomies aligned with market trends and industry standards
• Strong skills in mapping relationships between marketing data entities (campaigns → products → audiences → channels)
• Ability to evaluate and recommend metadata-management tools
• Experience enhancing interoperability across MarTech platforms (e.g., E360, DAM, analytics systems)
• Track record of automating metadata processes and laying the groundwork for AI/ML-driven insights, recommendations, and classification

On top, as nice-to-haves:

• Experience with marketing-data-lineage projects, data organization, and improving data usability
• Ability to work on a scalable metadata framework in a fast-paced, evolving environment
• Familiarity with modern analytics tools and enterprise-class DAM/MarTech platforms

Devire IT Outsourcing is a form of cooperation dedicated to IT professionals, based on the principles of own business - B2B, implementing projects for clients running innovative and modern projects. 

Our client is an international Consulting Company, that supports its clients in digital transformation processes, and in business and operational decision-making strategies. We seek a Data Architect to support their Client from the pharmaceutical industry.

• Salary: 160-200 PLN net+VAT/h (B2B)
• Location: remote position
• Language: communication in English daily

• Salary up to 200 PLN net+VAT/h
• Additional benefits package (medical healthcare, sports membership, etc.)
• Possibility to cooperate with an international company with a stable market position
• Remote position with occasional visits in the office every 1-2 months
• Long-term cooperation
• Flexible working hours, Polish time zone

,[Lead the Analysis phase: gather and document marketing-metadata requirements across stakeholders, Design & Definition: architect a standardized metadata framework and taxonomy that supports analytics, reporting, and data governance, Map data lineage: chart relationships and workflows between campaigns, products, audiences, and channels to ensure traceability, Select & integrate tools: assess metadata-management solutions and drive their adoption within the MarTech ecosystem, Prototype automation: develop proof-of-concepts for automated metadata capture, classification, and enrichment to support future AI/ML use cases, Collaborate cross-functionally with BI analysts, data engineers, marketing teams, and IT to align metadata strategy with business objectives, Establish best practices and documentation for metadata governance, quality assurance, and ongoing maintenance] Requirements: AI

Kategorie

data

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