Azure Data Architect

• Design and implement comprehensive data solutions with Azure Databricks, focusing on scalability, performance, and cost savings.
• Lead the development of data mesh, data lake, and data warehouse architectures customized for the manufacturing sector.
• Work closely with cross-functional teams to capture requirements and convert them into detailed technical designs and practical solutions.
• Offer hands-on support in data ingestion, transformation, and visualization using Azure tools.
• Enhance Databricks clusters and jobs for optimal performance and cost efficiency, following Spark and PySpark best practices.
• Ensure adherence to data governance, security protocols, and disaster recovery standards within Azure.
• Create and update technical design documents that align with business goals.
• Guide development teams on CI/CD processes, data engineering, and analytics best practices.

Profile Requirements

For this position of Azure Data Architect, we are looking for someone with:

• (Required) 10+ years of experience as a Data Architect, specializing in cloud-based data platforms.
• (Required) 4+ years of hands-on experience with Azure technologies such as Data Factory, Databricks, and Data Lake Storage
• (Required) Expertise in the manufacturing sector. Skilled in using Apache Spark, PySpark, and SQL for large-scale data processing tasks.
• (Required) Thorough understanding of Azure Databricks architecture, including control and compute plane functionalities.
• (Required) Experienced in designing secure networking configurations and governance strategies for Databricks environments.
• (Required) Familiarity with data warehousing approaches like Kimball, Inmon, and Data Vault.
• (Optional) Practical experience with CI/CD pipelines for data solutions.
• (Optional) Knowledge of SAP ERP is a significant plus.
• A bachelor s degree in computer science, Information Technology, or a related discipline.
• Strong analytical and problem-solving abilities complemented by excellent communication skills to connect technical and non-technical stakeholders.
• Experience in maintaining a collaborative approach focused on ongoing improvement.