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.