Position Overview:

Essential Duties & Responsibilities:

• Manage and lead database engineering resources encompassing multiple functions (Database Development, Data Warehousing, operational data management, database administration) in an agile environment and work cross-functionally in the design and implementation of database solutions that are aligned with company strategies to achieve business goals.
• Develop strong working relationships with functions across the organization to identify and vet Data and Analytics related priorities based on key business requirements and incorporate them into data engineering plans.
• Responsible for on-time delivery of projects, through creating a framework of accountability, and continuously optimizing your team’s performance by promoting a culture of excellence, where best practices and industry standards are the norm.
• Help improve engineering practices to increase velocity, productivity, and developer happiness.
• Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Design, maintain, and troubleshoot robust data pipelines to ingest, process, and analyze large volumes of data from various sources.
• Collaborating with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues.
• Articulate tactical roadmap & initiatives based upon business need and overarching strategies to help scale quickly and sustainably.
• Coach, mentor, and further grow and develop engineers on your team.
• Participate in architecting and implementing scalable and secure data infrastructure solutions.

Additional Duties & Responsibilities:

• Establish data governance practices for managing various types of data, including personable identifiable information, data quality and validation standards.
• Establish a unified database engineering methodology across database engineering functions.
• Promote a culture of teamwork and collaboration within the database engineering function and across the organization in support of the mission and vision of the organization.
• Collaborating with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues.
• Staying current with the latest developments in data engineering and data management technologies and best practices and providing guidance and mentorship.
• Collaborate with data scientists to support used algorithms and analytics.
• Help Implement and manage security controls to ensure data access aligns with organizational policies and user roles.
• Engage in professional development activities to enhance skills and knowledge.
• Safety is an essential function of this job.
• Consistent and regular attendance is an essential function of this job.
• Performs other related duties as assigned.

Additional Duties & Responsibilities:

Additional Duties & Responsibilities:

• 21 years of age.
• Proof of authorization to work in the United States
• Bachelor's degree in computer science, information technology, business administration, finance, or a related field. Master’s degree preferred.
• Must be able to obtain and maintain Nevada Gaming Control Board registration and any other certification or license, as required by law or policy.
• 4+ years of experience leading and managing teams in a similar position.
• Deep understanding of data modeling, ETL/pipeline processes, data warehousing concepts, and best practices in data management and analytics.
• In-depth working knowledge and demonstrated hands-on experience building out data marts, data warehouses, data lakes using modern architecture concepts (e.g.: Medallion architecture).
• Experience with Cloud Technologies (e.g.: GCP, AWS, Microsoft Azure, Databricks, Snowflake).
• Advanced proficiency with SQL, Big Query, and cloud systems.
• Hands-on experience working within an enterprise-scale Data Platform, while setting best practices for security, privacy, monitoring & alerting, and CI/CD (ideally with Google Cloud Platform, Airflow, Databricks, and Tableau).
• Experience managing cross-functional requirements in an agile environment, driving them to their full potential.

Minimum Qualifications:

• Excellent listening, interpersonal, communication and problem-solving skills.
• A passion for driving innovation and continuous improvement, with a demonstrated ability to stay up to date with the latest developments in data engineering technologies and best practices.
• Demonstrated ability to work effectively in teams, in both a lead and support role.
• Effective time management skills, including demonstrated ability to manage and prioritize multiple tasks and projects.
• Knowledge of ETL processes and tools for data transformation and loading. (e.g., Alteryx, SSIS, Dataflow, Informatica, etc.).
• Ability to document processes, configurations, and best practices.
• Demonstrated abilities to lead and positively influence teams, develop talent, and lead by example.
• Strong critical thinking and analytical abilities.
• Strong organizational and problem-solving technical skills.
• Ability to communicate clearly and effectively in English, both in spoken and written form.
• Strong interpersonal skills with the ability to communicate effectively with guests and other Team Members of different backgrounds and levels of experience.
• Must be able to work varied shifts, including nights, weekends, and holidays.

Physical Requirements:

• Physically access all areas of the property and drive areas with or without reasonable accommodation.
• Maintain composure under pressure and consistently meet deadlines with internal and external customers and contacts.
• Ability to interact appropriately and effectively with guests, management, other team members, and outside contacts.
• Ability for prolonged periods of time to walk, stand, stretch, bend, and kneel.
• Work in a fast-paced and busy environment.
• Work indoors and be exposed to various environmental factors such as, but not limited to, CRT, noise, dust, and cigarette smoke.