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Data Architect
2 months ago
Join PEOPLE FORCE CONSULTING INC as a Cloud Data Architect and be part of our Data Strategy and Engineering team. As a key member, you will design and implement large-scale data-driven engagements using Azure, AWS, and SQL Server Data architecture.
Key Responsibilities:
- Develop architectural standards, patterns, and frameworks for cloud data solutions.
- Orchestrate the development of data integration and ETL concepts using cloud technologies.
- Migrate legacy platforms to cloud infrastructure, including Azure Data Lake and AWS.
- Design and implement data storage and processing technologies in Azure, including Azure Data Lake Storage, Azure Data Lake Analytics, and Azure Synapse Analytics.
- Ensure data security and compliance practices in the Azure cloud environment.
- Develop data transformation and data preparation tools and techniques.
- Familiarize yourself with data cataloging and metadata management tools and practices.
Requirements:
- Proven experience as a Data Architect with hands-on experience in designing and implementing data solutions on Azure Data Lake and AWS.
- Strong understanding of cloud services and data architecture principles.
- Proficiency in data integration and ETL concepts and practical experience with cloud technologies.
- Knowledge of data storage and processing technologies in Azure, including Azure Data Lake Storage, Azure Data Lake Analytics, and Azure Synapse Analytics.
- Experience in migration projects from On Prem to Azure Cloud Services (Data Lake/Synapse).
- Experience with data transformation and data preparation tools and techniques.
- Knowledge of data security and compliance practices in the Azure cloud environment.
- Familiarity with data cataloging and metadata management tools and practices.
- Azure certifications related to data and analytics (e.g., Microsoft Certified: Azure Data Engineer Associate) are a plus.
Preferred Qualifications:
- In-depth knowledge of SQL Server database design, implementation, and administration.
- Proficiency in SQL programming, T-SQL, and stored procedures.
- Familiarity with data warehousing and business intelligence concepts.