Freelance Data Architect
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Job description
🌍 About the Opportunity
We are looking for a Data Architect to play a key role in the evolution of a global, data-driven organization. This position offers the opportunity to shape and drive enterprise-wide data architecture, enabling strategic decision-making and business innovation through high-quality, scalable, and secure data solutions.
You will work closely with data engineers, analysts, business stakeholders, and technology teams to define and implement the future of the company’s data landscape, with a strong focus on Microsoft Azure technologies.
🎯 Your Responsibilities
🏗️ Data Architecture Leadership
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Define and drive the enterprise data architecture vision across multiple business domains and programs.
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Establish architectural principles, standards, governance frameworks, and best practices.
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Ensure consistency, scalability, and sustainability of data solutions across the organization.
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Provide technical leadership and guidance on data architecture decisions and trade-offs.
📊 Data Modelling & Design
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Lead the design of conceptual, logical, and physical data models across operational and analytical environments.
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Develop robust data structures supporting reporting, analytics, integration, and business intelligence initiatives.
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Define and maintain data modelling standards to ensure data quality, integrity, and accessibility.
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Support both transactional (OLTP) and analytical (OLAP) use cases.
☁️ Data Platform & Integration Architecture
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Design, maintain, and evolve modern Azure-based data platforms.
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Architect solutions leveraging technologies such as:
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Azure Data Factory
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Azure Databricks
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Azure Synapse Analytics
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Azure Data Lake
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Define and implement scalable data ingestion, transformation, and processing pipelines.
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Collaborate with integration teams to establish best practices for data exchange and consumption.
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Experience with real-time and streaming technologies (Kafka, Flink, etc.) is considered a strong asset.
🔐 Data Strategy & Governance
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Contribute to the development and execution of the enterprise data strategy.
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Collaborate with business and governance stakeholders to improve data quality and management practices.
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Support initiatives related to:
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Master Data Management (MDM)
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Metadata Management
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Data Governance
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Data Quality Frameworks
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Ensure compliance with security, privacy, and GDPR requirements.
🤝 Stakeholder Collaboration
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Translate business requirements into scalable and sustainable technical solutions.
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Act as a trusted advisor to both business and technical stakeholders.
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Work closely with cross-functional teams to align data architecture initiatives with business objectives.
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Contribute to strategic platform modernization and transformation programs.
🔎 Your Profile
🎓 Background & Experience
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Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
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Minimum 5 years of experience in roles such as:
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Data Architect
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Data Engineer
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Analytics Engineer
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Technical Lead
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Data Modelling Specialist
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