Lead Data Engineer

The Lead Data Engineer position will serve as a key contact for all business departments concerning reporting and analysis using the Enterprise Data Platform for Universal Destinations and Experiences (UDX). This is a dynamic and fast-paced environment. This position requires “hands-on” business intelligence knowledge to support the business in using tools for their decision making around attendance dynamics, food and retail profitability, sales and marketing initiatives and operations efficiency.

RESPONSIBILITIES

• Collaborate with Product and business areas to identify and assess business requirements for information/data and then provide options, risks, costs, and benefits for the appropriate solution.
• Provide project estimates for cost-benefit analysis.
• Assess and document the flow of data between system components.
• Able to develop, understand and interpret logical and physical data models.
• Partner with the application and data architects to ensure effective data schemas for operational applications.
• Establish scalable, efficient, automated processes for large scale data analyses model development, model validation and model implementation.
• Work as part of a team and with clients to develop cloud data and analytics solutions.
• Development of cloud data platforms and business intelligence solutions.
• Data wrangling of heterogeneous data sources for exploring and discovering new insights.
• Work with highly collaborative agile teams on modern data architecture projects.
• Help coordinate the development of necessary project documentation and standards required for compliance and identified best practices.
• Coordinate with the business users during project implementations and continue to serve as a point of contact for future data questions and issues.
• Participate in vendor management to include oversight and monitoring vendor progress of development deliverables through to implementation.
• Work effectively with Technology Operations/Infrastructure teams to ensure a seamless transition of the completed solutions to the responsible technology/3rd party support organization for its continued operations and maintenance.
• Ensure business user issues are resolved in a timely manner.
• Able to cross train and mentor others as needed.
• Facilitate and lead meetings and requirements gathering sessions with end users at all levels (VP, Director, Managers, and Subject Matter Experts).
• Keeps management, project managers, team members and business stakeholders informed of critical issues, project status, changes, etc.
• Able to embrace and adapt to change while demonstrating flexibility and the ability to develop and follow new processes.
• Other duties as assigned.
• Key success measures of a Lead Data Engineer include technical proficiency in data processing technologies, collaboration with other teams, communication, and willingness to learn new things.