Business Intelligence Engineer

Who are we: A professional basketball team and state‑of‑the‑art arena/entertainment venue that specializes in creating memorable experiences for each guest we interact with. Some of our favorite things are live sports, concerts, comedy shows, family shows, and most any other world‑class event you can think of. We live for the fast‑paced world of sports & live entertainment, we work hard, run fast, execute flawlessly, and party it up when it all comes together.

We strive to deliver wonderful experiences that create lasting memories, and we prefer to surround ourselves with those who are the best at what they do.

Who are you:
An enthusiastic lover of sports, live entertainment, and people. You have true passion for engaging in meaningful interactions and creating memorable experiences for all guests. You strive to be helpful, engaging, and knowledgeable of all things Atlanta Hawks and State Farm Arena. You enjoy being part of an exciting and dynamic group, you’re committed to continuously enhancing the productivity and effectiveness of your team.

You enjoy working hard and celebrating hard.

Business Intelligence Engineer:
The role leads the design and development of our BI solutions. In this role, you will be responsible for architecting end‑to‑end BI frameworks that enable robust data reporting, analytics, and insights across the organization. The ideal candidate will bridge the gap between business needs and technical capabilities, ensuring our BI infrastructure is scalable, secure, and aligned with strategic goals.

• Design and implement a comprehensive BI architecture that integrates data from various sources into a unified reporting and analytics environment, supporting a wide range of business needs with scalability and performance.
• Develop and maintain a BI strategy that supports business objectives and drives data‑driven decision‑making.
• Design, establish, and manage a semantic layer for the analytics team using modern frameworks.
• Regularly review and refine data architectures, reporting solutions, and the semantic layer to adapt to evolving business needs.
• Stay current with industry best practices and emerging trends in BI, data governance, and analytics technology.
• Ensure data quality and consistency through robust cleansing, validation, and transformation processes.

• Evaluate and implement BI tools and technologies that best meet organizational needs.
• Oversee the deployment, configuration, and management of BI platforms, ensuring high availability and performance.
• Administer BI environments, including user provisioning, roles, permissions, and project hierarchy management.
• Implement and maintain content governance policies, certified data sources, and manage environment deployment workflows.
• Monitor usage, performance, and adoption metrics across BI platforms to optimize resource allocation and user experience.
• Establish and manage the automation and observability of reporting systems, proactively identifying data anomalies and dashboard issues.
• Create, review, and optimize report specifications, ensuring data accuracy and efficient data retrieval from multiple sources.
• Establish and enforce best practices for report development, documentation, and version control.
• Partner with the analytics team on more complex initiatives to create dashboards and reports using BI tools.

• Work closely with business stakeholders, data analysts, and IT teams to understand reporting requirements and translate them into technical specifications.
• Provide technical leadership and guidance throughout the lifecycle of BI projects, from conceptual design to production deployment.
• Design dashboards for self‑service analytics, empowering business users to explore data independently.
• Build reusable templates, metric definitions, and standardized reporting components to enable data democratization across the organization.
• Develop training materials and conduct workshops to empower end‑users with self‑service BI capabilities.

• Collaborate with data engineers and data modelers to design data pipelines and models optimized…