Azure Data Architect+Fabric

The ideal candidate for this position should have 8-12 years of experience and possess a strong understanding and hands-on experience with Microsoft Fabric. You will be responsible for designing and implementing end-to-end data solutions on Microsoft Azure, which includes data lakes, data warehouses, and ETL/ELT processes. Your role will involve developing scalable and efficient data architectures to support large-scale data processing and analytics workloads. Ensuring high performance, security, and compliance within Azure data solutions will be a key aspect of this role. You should have knowledge of various techniques such as lakehouse and warehouse, along with experience in implementing them. Additionally, you will be required to evaluate and select appropriate Azure services like Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, Unity Catalog, and Azure Data Factory. Deep knowledge and hands-on experience with these Azure Data Services are essential. Collaborating closely with business and technical teams to understand and translate data needs into robust and scalable data architecture solutions will be part of your responsibilities. You should also have experience in data governance, data privacy, and compliance requirements. Excellent communication and interpersonal skills are necessary for effective collaboration with cross-functional teams. In this role, you will provide expertise and leadership to the development team implementing data engineering solutions. Working with Data Scientists, Analysts, and other stakeholders to ensure data architectures align with business goals and data analysis requirements is crucial. Optimizing cloud-based data infrastructure for performance, cost-effectiveness, and scalability will be another key responsibility. Experience in programming languages like SQL, Python, and Scala is required. Hands-on experience with MS SQL Server, Oracle, or similar RDBMS platforms is preferred. Familiarity with Azure DevOps and CI/CD pipeline development is beneficial. An in-depth understanding of database structure principles and distributed data processing of big data batch or streaming pipelines is essential. Knowledge of data visualization tools such as Power BI and Tableau, along with data modeling and strong analytics skills is expected. The candidate should be able to convert OLTP data structures into Star Schema and ideally have DBT experience along with data modeling experience. A problem-solving attitude, self-motivation, attention to detail, and effective task prioritization are essential qualities for this role. At Hitachi, attitude and aptitude are highly valued as collaboration is key. While not all skills are required, experience with Azure SQL Data Warehouse, Azure Data Factory, Azure Data Lake, Azure Analysis Services, Databricks/Spark, Python or Scala, data modeling, Power BI, and database migration are desirable. Designing conceptual, logical, and physical data models using tools like ER Studio and Erwin is a plus.,