Job Description
About the position The Senior Enterprise Data Warehouse (EDW) Architect is responsible for designing, developing, and optimizing enterprise data platforms that support analytics, reporting, and data-driven decision-making across WarHorse Gaming. This role ensures scalable architecture, efficient data movement, and high-performance systems that deliver trusted insights to business leaders across operations, marketing, finance, and guest experience. This position plays a key role in enabling enterprise-wide analytics and driving innovation in a fast-paced, 24/7 gaming and entertainment environment. Responsibilities • Design, implement, and maintain enterprise data warehouse and data lake platforms. • Develop and enforce data architecture, modeling, integration, and governance standards. • Manage ETL/ELT pipelines to ensure data quality, security, scalability, and reliability. • Optimize storage, performance, and cost efficiency across cloud and hybrid environments. • Deliver BI dashboards, reports, and self-service analytics solutions. • Standardize KPIs, metrics, and reporting frameworks across departments. • Partner with business stakeholders to translate data into actionable insights. • Promote adoption of data visualization and analytics tools. • Develop and support AI/ML models, predictive analytics, and automation initiatives. • Collaborate on advanced use cases including segmentation, personalization, forecasting, and fraud detection. • Implement MLOps practices for model deployment, monitoring, and maintenance. • Ensure compliance with data governance, regulatory requirements, and internal policies. • Partner with IT Security and Compliance to protect sensitive data assets. • Evaluate and recommend data platforms, BI tools, cloud services, and vendors. • Stay current with emerging technologies and industry best practices. • Perform other duties as assigned. Requirements • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience). • Minimum of 7 years of experience in data engineering, enterprise data warehousing, or analytics platform development. • Strong proficiency in SQL, Python, C#, and ETL/ELT tools. • Experience with cloud platforms such as AWS or Azure, including hybrid environments. • Strong knowledge of BI and data visualization tools (Power BI, Tableau). • Familiarity with data governance, compliance frameworks, and security protocols. • Excellent communication and stakeholder management skills. Nice-to-haves • Exposure to AI/ML frameworks and MLOps practices preferred. Apply tot his job