Data Analytics Architect

We are seeking a highly skilled Data Analytics Architect with a strong focus on Microsoft technologies to join our team. As a Data Analytics Architect, you will play a critical role in designing, implementing, and optimizing data analytics solutions leveraging Microsoft's suite of tools and technologies. Your expertise will be instrumental in transforming complex data into actionable insights, driving business growth, and supporting decision-making processes while actively participating in new opportunity pursuits. This role is technically focused and requires the ability to execute in all the stages of the data software development lifecycle. 

Primary Responsibilities
- Collaborate, business analysts and stakeholders to take business requirements translate them into scalable and efficient data analytics solutions utilizing Microsoft technologies.
- Possess in-depth knowledge and hands-on experience with Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Power BI, SQL Server, Azure Analysis Services, and other relevant Microsoft tools.
- Develop end-to-end data analytics architectures, including data integration, data warehousing, data modeling, data visualization, and reporting, leveraging Microsoft platforms.
- Implement data integration pipelines using Microsoft Azure Data Factory, Azure Data Lake, and other relevant tools to extract, transform, and load data from various sources into a unified data platform.
- Create visually appealing and interactive dashboards, reports, and visualizations using Microsoft Power BI, enabling users to gain valuable insights from data.
- Work with Data Analytics Architecture team to identify performance bottlenecks and implement optimizations to improve data processing, query performance, and overall system efficiency.
- Partner with our Security practice to ensure data security, privacy, and compliance with relevant regulations and standards are met.
- Collaborate with cross-functional teams, providing technical leadership and guidance to data engineers, analysts, and other stakeholders to ensure successful project delivery.
- Keep abreast of the latest advancements in data analytics technologies (Microsoft based and others) and industry trends, continuously enhancing your expertise and applying best practices in solution design and implementation.