technologies-expected :

about-project :

responsibilities :

Lead the architecture, design, and implementation of scalable data platforms for various domain-specific data assets on Azure Cloud.
Develop comprehensive architectural solutions.
Define and document best practices and strategies for data management, integration, and performance optimization.
Design and oversee the integration of diverse data sources into the Azure-based data platform, ensuring data consistency and quality.
Establish and enforce data governance and security measures.
Architect real-time data processing and integration solutions.
Collaborate with data engineers, data scientists, analysts, and other stakeholders to understand their data needs and provide reliable data solutions.
Provide architectural guidance and leadership to the engineering team, ensuring alignment with business goals.
Stay updated with the latest industry trends and Azure technologies to continually enhance the data platforms.
Implement and promote the use of advanced analytics, machine learning, and AI tools and frameworks.
Optimize and automate data workflows and processes.

requirements-expected :

Proven experience as a Data Platform Architect, focusing on designing and implementing data platforms on Azure Cloud.
Extensive hands-on experience with:
Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Azure Data Lake Storage (ADLS)
Azure SQL Database
Proficiency in programming languages such as Python, and/or Scala and/or Java.
Deep understanding of data modeling, ETL processes, data warehousing concepts, and big data technologies.
Strong knowledge of SQL and NoSQL databases.
Familiarity with cloud architecture and design patterns.
Excellent problem-solving skills and attention to detail.
Ability to lead and mentor a team, as well as work independently.

benefits :

about-project :