At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours Data Engineer – BI Platform Administration & Enablement (Canada) Job Summary We are seeking a Data Engineer to support and enhance our Business Intelligence platform ecosystem, with a primary focus on Sigma Computing administration and user enablement. This role is ideal for someone who enjoys helping others succeed with data tools, improving platform usability, and ensuring that BI technologies are well-maintained and effectively adopted across the company. You’ll work closely with analytics teams, data engineers, and business stakeholders to promote best practices, share knowledge, and showcase new platform features. You will be part of a team that values collaboration, learning, and innovation — and your work will play an important role in empowering teams with the knowledge and tools they need to build great reports and dashboards. This position is well-suited for a mid-level or junior engineer who has administration responsibilities in previous roles and is motivated to grow their skills in BI platform support and enablement. Responsibilities - Serve as an administrator in Sigma Computing, including managing permissions, access controls, and workspace organization. - Provide daily user support, such as resolving report access issues, helping users understand error messages, and troubleshooting connection or data-source problems. - Participate in an on-call rotation to support the operational reliability. - Assist users with best practices for building reports, organizing content, and using Sigma features effectively. - Conduct demos, training sessions, workshops, and documentation to help teams adopt new features and improve their reporting workflows. - Support onboarding of new users and teams into the BI ecosystem. - Collaborate with analytics, data engineering, and product teams to ensure platform stability and support user needs. - Monitor platform performance, usage patterns, and reliability; escalate or address issues as needed. - Contribute to BI governance efforts, including folder structure, naming conventions, permissions hygiene, and lifecycle management. - Participate in evaluating and rolling out new BI features or enhancements. Qualifications - 1–3 years of experience in BI engineering, data engineering, analytics, or platform administration roles. - Previous hands-on experience with tool or platform administration, including managing users, permissions, or configuration settings. - Experience with BI platforms such as Sigma, Tableau, Looker, or Power BI. - Experience with or interest in cloud data warehouse platforms, especially Snowflake (nice to have). - Strong SQL understanding and how reporting tools interact with data models. - Comfortable explaining technical concepts to non-technical users and guiding them through tool usage. - Strong communication and customer-support skills, with a service-oriented mindset. - Familiarity with cloud data warehouses and modern BI environments is an advantage. - Curious, proactive, and eager to learn new tools and a supportive, user-oriented mindset. Why Join Us You will play a crucial role in shaping how teams across the company utilize data on a daily basis. Your support will help deliver faster insights, stronger decision-making, and greater confidence in our BI platforms. This position provides the opportunity to deepen your platform expertise, strengthen your enablement skills, and contribute to a collaborative and forward-thinking BI environment. If you take pride in helping others, improving system reliability, and learning new technologies, we would be glad to have you join our team. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

• Diagnosticar la arquitectura actual y proponer un modelo de datos ordenado y escalable (evitando tablas sobredimensionadas o estructuras mezcladas). • Establecer los lineamientos y estándares de desarrollo que deberá seguir el equipo de datos. • Diseñar e impulsar el uso de Terraform para crear componentes reutilizables y asegurar despliegues consistentes. • Definir los lineamientos sobre el uso de tecnologías dentro de nuestro ecosistema en GCP. • Acompañar la implementación de un caso de uso relevante para validar la nueva arquitectura en un entorno real. • Trabajar codo a codo con los equipos de ingeniería, analítica y gobierno de datos.

• Orquestar el desarrollo, escalabilidad y operación de la plataforma de datos en GCP. • Garantizar que el flujo de datos sea eficiente, de alta calidad y alineado con los objetivos del negocio. • Liderar equipos de +5 personas bajo metodologías Agile/Scrum. • Convertir necesidades complejas en soluciones técnicas robustas y escalables. • Visión sistémica enfocada en arquitectura Medallion, optimización de performance y eficiencia de costos. • Conectar y gestionar expectativas con stakeholders no técnicos.

• Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems. • Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL. • Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled. • Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth. • Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool. • Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business. • Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.