Data Architect (Modena)

Data Architect (Modena)

19 ott
|
Plative
|
Modena

19 ott

Plative

Modena

The Data Architect plays a critical role in designing and building foundational data platforms that enable customers to move, organize, and analyze their business data at scale. In this position, you will partner with client team members to architect, implement, and deploy data warehouse solutions across multiple cloud platforms and customer organizations. This position requires deep expertise in medallion layer design, ELT implementation, semantic layer architecture and BI tool integration. You should be able to lead architecture discussions, guide technical execution, and mentor junior engineers. As a senior technical contributor, you will take ownership of complex data warehouse solutions, conduct technical discovery with customers, and ensure scalable, maintainable data architectures. You will act as a trusted technical advisor to both internal teams and customer stakeholders while driving best practices in data design, pipeline development, semantic layer modelling, and BI implementation.

Responsibilities
• Design medallion layer data warehouse schemas (bronze, silver, gold)



on Databricks, Redshift, Snowflake and/or BigQuery.
• Select and implement ELT tools to move data from source systems into the warehouse. You'll evaluate options, configure pipelines, and troubleshoot performance issues.
• Build and optimize semantic layers on top of the warehouse so analysts and business users can query data without writing SQL.
• Connect data warehouses to BI platforms (Tableau, Looker, Power BI, or similar) to enable self-service analytics and reporting.
• Translate business requirements into scalable technical integration architectures and implementation strategies.
• Facilitate discovery sessions and technical workshops with clients to understand system landscapes, integration requirements, and data flows.
• Own complex integration solutions from design through deployment, ensuring high performance, scalability, and maintainability.
• Advise on data governance, qualit

📌 Data Architect (Modena)
🏢 Plative
📍 Modena

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