Role: Data Architect Location: -Denver CO Day 1 onsite
HMust Skills :- Data Analytics Engineer, highly performant SQL and Python, cloud technologies (like AWS and AWS) and data analytics platforms
Over All experience must be 12 + years’ experience Lead development of data pipelines to support operational processes, analytics and reporting use cases in an efficient and scalable manner. Provide technical guidance to drive the design and delivery of the organization’s data mart roadmap Partner with IT, the Business Intelligence team, and non-technical functional stakeholders to define needs and continuously improve the data platform. Design and build mechanisms to manage data from a wide variety of sources. Define and evaluate key tasks and acceptance criteria of data systems from development to production. Normalize complicated data sources to convert into usable formats. Write scripts to automate manual operational processes using disparate data sources. Responsible for optimizing and automating existing processes, refactoring code, establishing standards, writing documentation, and partnering with IT and DBAs to troubleshoot and minimize failures/downtime. Skills, Experience and Requirements
You would be considered a great fit for this role if you have the following:
Bachelor’s degree in Computer Science, Computer Engineering, or a related technical degree. Master’s preferred. 5+ years’ experience building data delivery services to support critical operational processes, reporting, and analytical models Demonstrated strength in SQL and Python, data modeling, data warehousing, ETL development, and process automation Working knowledge of cloud environments and server management; experience with AWS and Snowflake technologies Experience with query optimization, performance monitoring, and troubleshooting pipeline failures
