Data Architect

As a skilled and detail-oriented Data Architect, you will be responsible for designing and implementing scalable data solutions. Your key role will involve building modern data architectures using cloud platforms and advanced data technologies to ensure efficient data processing, storage, and analytics capabilities. Key Responsibilities: - Design and develop scalable and secure data architecture solutions - Build and manage data pipelines using modern data platforms - Work with cross-functional teams to understand business requirements and translate them into data solutions - Develop and optimize data models for performance and scalability - Ensure data quality, governance, and security standards - Collaborate with data engineers, analysts, and stakeholders for seamless data flow - Implement best practices for data integration, transformation, and storage - Monitor and optimize data systems for performance and cost efficiency Qualifications Required: - 35 years of experience in Data Architecture / Data Engineering roles - Strong experience with Microsoft Azure (Data Services) - Hands-on experience with Azure Databricks - Working knowledge of Microsoft Fabric - Experience in building ETL/ELT pipelines - Strong understanding of data warehousing concepts - Proficiency in SQL and data modeling techniques - Experience with big data technologies and cloud-based data platforms - Good understanding of data governance and security Please note that the above job description does not include any additional details about the company. As a skilled and detail-oriented Data Architect, you will be responsible for designing and implementing scalable data solutions. Your key role will involve building modern data architectures using cloud platforms and advanced data technologies to ensure efficient data processing, storage, and analytics capabilities. Key Responsibilities: - Design and develop scalable and secure data architecture solutions - Build and manage data pipelines using modern data platforms - Work with cross-functional teams to understand business requirements and translate them into data solutions - Develop and optimize data models for performance and scalability - Ensure data quality, governance, and security standards - Collaborate with data engineers, analysts, and stakeholders for seamless data flow - Implement best practices for data integration, transformation, and storage - Monitor and optimize data systems for performance and cost efficiency Qualifications Required: - 35 years of experience in Data Architecture / Data Engineering roles - Strong experience with Microsoft Azure (Data Services) - Hands-on experience with Azure Databricks - Working knowledge of Microsoft Fabric - Experience in building ETL/ELT pipelines - Strong understanding of data warehousing concepts - Proficiency in SQL and data modeling techniques - Experience with big data technologies and cloud-based data platforms - Good understanding of data governance and security Please note that the above job description does not include any additional details about the company.