Ernst & Young - Chicago, IL
posted about 2 months ago
At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. EY is seeking a Data Architect with strong technology and data understanding having proven delivery capability. In this role, you will lead the design, development, and management of the organization's data architecture, ensuring scalable, efficient, and secure data solutions that align with business goals and support enterprise-wide data initiatives. You will create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your key responsibilities will include designing, developing, optimizing, and maintaining data architecture and pipelines that adhere to ETL principles and business goals. You will develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity. Additionally, you will define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment. You will also support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Moreover, you will write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implementing processes and systems to drive data reconciliation and monitor data quality will be crucial, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. You will lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity, and develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. This role will also require you to learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics, and solve complex data problems to deliver insights that help achieve business objectives.