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.
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