Ernst & Young - Springfield, 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, which 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 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. Writing unit/integration/performance test scripts and performing data analysis required to troubleshoot data-related issues will also be part of your role. You will implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Leading the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity will be essential. You will develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes, while also learning about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Your role will involve solving complex data problems to deliver insights that help achieve business objectives and implementing statistical data quality procedures on new data sources by applying rigorous iterative data analytics.