The Liquid engineering team is driving the digital transformation of Microsoft's trustworthy computing strategy and experiences. We are responsible for delivering Liquid, an (internal) data-centric cloud service that manages data used to support compliance and risk decision making across the Company. Our scope is company-wide, so we partner broadly with engineering teams, compliance and risk managers, and corporate leadership. Our focus this year is centered on the security of all Microsoft products and services. The demand for our services continues to increase, as does the volume and complexity of the work required to deliver, so we're looking for great people to join the team. If you are seeking a team culture that's casual yet high-energy and grounded in delivering solutions to solve real Microsoft challenges, this is the team for you. We are an agile team of motivated, strong professionals with a can-do attitude. We enjoy partnering with other teams to develop comprehensive solutions
Key Responsibilities include: Partner with Engagement PMs, Technical PMs, security SMEs and software engineers to understand, maintain and innovate on how we manage compliance, inclusive of data inputs, business rules, and logic application. Manage technical projects that are intended to deliver organized, curated data to Liquid partners, primarily via PowerBI-based reports. Design standard reports and drive ad-hoc BI enabling critical insight into compliance states at the enterprise, division and team levels, for individual products and suites of products; and to provide drill-down detail to allow
Critical Skills and Competencies: Detail-oriented, critical thinker with the ability to analyze complex data sets, distill insights, and make well-reasoned, business-practical recommendations. Demonstrated ability to simplify the complex and clearly and concisely communicate. Exhibits an obsession for detail and holds a high bar for quality delivery and personal accountability. Practical experience in using data modelling and well-designed data visualizations to surface insights and answer business questions. Understands the need for traceability and auditability of data and demonstrates how this