Informacje o stanowisku

Key Responsibilities

• Design and govern data ingestion patterns using the appropriate Azure platforms, services, methods, and guidelines.
• Participate in technology selection and define standards for ingestion and integration solutions.
• Contribute to core Data Platform architecture, especially ingestion, replication, and medallion-layer design (Bronze/Silver/Gold).
• Lead or support Proofs of Concept (PoCs) for Data Ingestion & Replication, validating approaches and tools.
• Ensure consistent use of shared technical standards, tools, and platforms across teams.
• Align ingestion and replication architecture with Enterprise Architecture (EA) principles and guidelines.
• Translate business and data requirements into target data architectures and document them with appropriate architecture and design artifacts.
• Initiate, drive, and support continuous improvement activities for data ingestion and replication capabilities.

Required Competencies

• Proven experience in data ingestion and/or data integration, ideally in a Data Architect or Lead Engineer role.
• Strong understanding of data platforms and ingestion/replication patterns; awareness of market trends in these areas is a plus.
• Demonstrated learning and growth mindset, with a strong focus on innovation.
• Experience working with IT solutions in heterogeneous, multi-platform environments.
• Experience working in a global, distributed context.

Technical Skills

• Full understanding of Medallion architecture (Bronze/Silver/Gold layers) and its application to modern data platforms.
• Deep experience with cloud-based data architectures and DW/BI/Analytics, particularly on Microsoft Azure, including:
  • Azure Data Factory (ADF)
  • Azure Event Hub (AEH)
  • Azure Databricks
  • Azure Storage
  • Azure Functions
• Strong understanding of ETL/ELT concepts, streaming, and event-driven data pipelines.
• Exposure to data modelling and data transformation concepts to ensure consistent, reusable data structures post‑ingestion.

Key Responsibilities

• Design and govern data ingestion patterns using the appropriate Azure platforms, services, methods, and guidelines.
• Participate in technology selection and define standards for ingestion and integration solutions.
• Contribute to core Data Platform architecture, especially ingestion, replication, and medallion-layer design (Bronze/Silver/Gold).
• Lead or support Proofs of Concept (PoCs) for Data Ingestion & Replication, validating approaches and tools.
• Ensure consistent use of shared technical standards, tools, and platforms across teams.
• Align ingestion and replication architecture with Enterprise Architecture (EA) principles and guidelines.
• Translate business and data requirements into target data architectures and document them with appropriate architecture and design artifacts.
• Initiate, drive, and support continuous improvement activities for data ingestion and replication capabilities.

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