<p><br></p><p>Software Platform Engineer will design, build, and maintain a core Data & Machine Learning platform.</p><p><br></p><p>Platform Development: Design and implement new features for our AWS and Databricks-based platform, staying current with industry trends and advancements in AI. Core Component Implementation: Test and integrate central platform components that support our technology stack and serve tenants across the organization. Collaboration: Partner with other engineering teams to identify and deliver platform enhancements that solve specific business problems. Maintain Excellence: Uphold strict security protocols, compliance controls, and architectural principles in all aspects of your work.</p><p><br></p><p><br></p>
<p><strong>Overview</strong></p><p> We are seeking a <strong>Power BI Developer</strong> to serve as the technical owner of the organization’s Power BI and analytics environment. This role focuses on platform ownership, data modeling, governance, and maintaining a stable analytics ecosystem rather than primarily building reports. The ideal candidate is a hands-on technical leader with strong experience in <strong>Power BI, SQL, and ETL processes</strong>, who can support the analytics platform while collaborating with data engineers, business stakeholders, and cross-functional teams.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Serve as the technical lead and primary owner of the Power BI analytics environment.</li><li>Act as the first point of contact for platform issues and ensure ongoing system stability and performance.</li><li>Manage and maintain security, access controls, and governance across Power BI workspaces and datasets.</li><li>Monitor and support development and production analytics environments.</li><li>Partner with data engineering and IT teams to understand upstream data pipelines and ensure data is structured for reporting and analytics.</li><li>Design, build, and maintain semantic and data models within Power BI.</li><li>Develop and optimize complex <strong>SQL queries</strong> and <strong>ETL processes</strong> to support analytics and reporting needs.</li><li>Build scalable Power BI data models using <strong>star schema and dimensional modeling</strong> best practices.</li><li>Ensure consistent documentation, deployment standards, and version control across analytics assets.</li><li>Communicate effectively with business users and stakeholders to support reporting and data needs.</li></ul>