You'll leverage your extensive experience (10+ years) to design, develop, and optimize data warehouses, ensuring that data is structured and accessible for analysis.
Creating sophisticated data architectures that can handle large volumes of data and support various business needs. You'll need to integrate multiple data sources and ensure data integrity and efficiency.
You'll collaborate with other architects to propose data-centric solutions that align with overall business architecture and strategy.
You will analyze complex datasets and assignments, applying advanced analytical skills to derive insights and guide decision-making.
A solid understanding of SQL is essential for querying databases and managing data. You may also need familiarity with other languages and tools depending on the tech stack.
Leading a team may be part of your role, which includes mentoring junior staff, managing workloads, and ensuring effective collaboration.
You’ll be responsible for initiating projects from the ground up, which includes defining requirements, establishing environments for development and testing, managing version control, and ensuring thorough testing protocols are in place.
You'll oversee the deployment of solutions, managing the transition from development to live environments, and ensuring that everything functions as intended in a production setting.
Experience with platforms like MS Fabric, Databricks, and Keboola suggests that you should be well-versed in modern data processing tools and cloud-based solutions, as these are crucial for building scalable data architectures