Hilton - McLean, VA
posted about 2 months ago
This role is based at one of our corporate offices in Memphis, TN, McLean, VA, or Dallas, TX. This is your chance to be a part of an in-house Technology team that's creating consumer-facing, cutting-edge technologies revolutionizing the hospitality industry around the world! As a Lead Data Engineer, you will bring your technical skills to a hospitality company with an award-winning culture. On the Enterprise Architecture & Data team reporting to the Director Data Engineering, you will build cloud-based solutions to support Global and APAC Analytics, Data Science, Software Engineering, and our Compliance/Regulatory functions' ability to improve products to position Hilton as a creative industry leader along with ensuring the appropriate protections to our data. You will apply technical and business ability to transform raw data into useful data systems. Your role is important and below are some of the fundamental job duties that make your work unique. You will apply industry principles, methodologies, and tools throughout the application lifecycle to transform the design specifications into data pipelines to address customer needs. You will implement testing strategies for these solutions to ensure they align with Hilton standards and provide the appropriate controls and safeguards to ensure the quality and security of our data. You will collaborate with technical product owners, data architects, data modelers, developers, and run operations in both Americas and APAC region to develop enterprise data solutions on both Global AWS and China AWS/Alibaba cloud environments. You will also transition the final solutions to our Operations team for ongoing support by defining standard operating procedures and conducting knowledge transfer sessions. You will take ownership of multiple initiatives under EAD, building data pipelines in both Global and APAC region to send and receive data following the compliance standards and enforce data governance policies. Additionally, you will develop and support large-scale batch and real-time data pipelines with data processing frameworks with high quality and efficiency on a multi-cloud environment.