Data bricks Architect

As a Data Architect, your role involves designing modern data platforms using tools like Databricks, SQL, Azure Data Factory, and Power BI. You will be responsible for defining scalable data architecture, data models, integration patterns, and providing technical direction to engineering and BI teams. Your primary responsibilities include: - Designing scalable data architecture for ingestion, transformation, reporting, and governance. - Defining data models, integration patterns, pipeline standards, and best practices. - Providing technical direction to data engineering and BI teams. - Reviewing designs, code, data flows, and performance bottlenecks. - Partnering with business and client stakeholders to translate requirements into technical solutions. - Supporting platform modernization, migration, and optimization initiatives. To excel in this role, you should possess the following qualifications: - Strong experience with Databricks, SQL, ADF, and Power BI. - Experience in designing lakehouse/data warehouse architectures. - Strong understanding of data modeling, ETL/ELT, performance tuning, and data governance. - Excellent communication and client-facing skills. - Ability to lead technical discussions and make architecture decisions. This job requires someone with hands-on experience in designing modern data platforms and a strong understanding of various data tools and technologies. If you are passionate about data architecture and enjoy working with engineering and business teams to deliver scalable solutions, this role is perfect for you. As a Data Architect, your role involves designing modern data platforms using tools like Databricks, SQL, Azure Data Factory, and Power BI. You will be responsible for defining scalable data architecture, data models, integration patterns, and providing technical direction to engineering and BI teams. Your primary responsibilities include: - Designing scalable data architecture for ingestion, transformation, reporting, and governance. - Defining data models, integration patterns, pipeline standards, and best practices. - Providing technical direction to data engineering and BI teams. - Reviewing designs, code, data flows, and performance bottlenecks. - Partnering with business and client stakeholders to translate requirements into technical solutions. - Supporting platform modernization, migration, and optimization initiatives. To excel in this role, you should possess the following qualifications: - Strong experience with Databricks, SQL, ADF, and Power BI. - Experience in designing lakehouse/data warehouse architectures. - Strong understanding of data modeling, ETL/ELT, performance tuning, and data governance. - Excellent communication and client-facing skills. - Ability to lead technical discussions and make architecture decisions. This job requires someone with hands-on experience in designing modern data platforms and a strong understanding of various data tools and technologies. If you are passionate about data architecture and enjoy working with engineering and business teams to deliver scalable solutions, this role is perfect for you.