Penta Consulting are a technology resource solutions provider to leading OEMs across the EMEA region.
We are currently searching for an Azure Solution Architect to join our clients team in Poland. This role is offered as a contract until the end of 2026, with chance of extension, and will be a remote role.
We are looking for an experienced Data Architect / Solution Architect with strong Integration Architecture expertise to design and deliver scalable, enterprise-grade data solutions. The ideal candidate will have a solid background in solution architecture , modern data platforms, and cloud-based analytics, with hands‑on experience across Snowflake, Azure Fabric, Power BI, and DBT . Exposure to unstructured data processing and AI-driven use cases is highly desirable. Key Responsibilities Lead solution architecture design for complex data and analytics initiatives across the enterprise. Define and implement end-to-end data architectures , including ingestion, transformation, storage, and consumption layers. Design and govern integration architectures , ensuring seamless data flow across systems, applications, and platforms. Architect scalable and secure data solutions using Snowflake and Azure Fabric . Collaborate with business, engineering, and analytics teams to translate requirements into robust technical solutions.
Establish best practices for data modeling, performance optimization, security, and governance.
Support and guide development teams on implementation standards, design patterns, and architectural principles.
Enable analytics and reporting solutions using Power BI , ensuring alignment with enterprise data models. Drive adoption of modern data transformation practices using DBT . Review and evaluate new tools, technologies, and architectural approaches to support evolving business needs. Required Skills & Qualifications 8+ years of total experience , with at least 3+ years in a Solution Architecture role . Proven experience as a Data Architect with strong Integration Architecture capabilities. Deep understanding of enterprise data architecture patterns and best practices. #J-18808-Ljbffr
