Cloud Solutions Data Architect
vor 4 Wochen
As a Cloud Solutions Data Architect (m/f/d), you will play a pivotal role in the architectural design, development, and operational management of our global analytics platform. Your responsibilities will include implementing Azure infrastructure and Databricks workspaces, as well as orchestrating data workflows between various source systems, data lakes, and data warehouses.
This role is situated within a technologically advanced environment that embraces a cloud-first strategy. You will have ample opportunities for professional growth and will significantly influence the evolution of HELM AG into a data-centric organization.
Key Responsibilities:
Serve as the primary contact for the analytics platform, providing support to colleagues from IT and business sectors in the data analytics landscape. You will also contribute to key development initiatives for the global data platform. Collaborate with internal stakeholders and external partners to develop and implement enhancements to the platform and existing systems. Design, implement, and manage cloud-based data pipelines and ETL processes. Engage in the continuous improvement of the existing cloud data platform. Conduct data cleansing, matching, and merging, while also overseeing data enrichment and the establishment of cloud data integration processes. Ensure data quality, integrity, and availability within the cloud environment. Develop and maintain automated data validation and cleansing processes, and contribute to the construction of a modern data warehouse in a cloud setting. Optimize and scale databases and data infrastructure in the cloud. Strive to transform HELM AG into a 'data-driven enterprise'.Your Qualifications:
Demonstrated expertise in utilizing cloud data platforms, particularly Azure Data Factory, Azure Synapse Analytics, Azure Storage, and Azure Active Directory. Previous experience in developing and maintaining data management solutions (ETL, ELT, streaming, etc.). Proficient in data modeling techniques (Data Vault, Kimball, 3NF) and familiar with data governance and data catalog tools. In-depth experience with data warehouse automation tools (Datavault Builder, Matillion, WhereScape, BIML) is advantageous. Knowledge of DevOps concepts and tools, particularly Azure DevOps. Understanding of data and network security principles. Proficient in Python for automated data cleansing tasks. Enjoyment of managing smaller projects and familiarity with agile project management methodologies.-
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