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Senior Data Architect Schaumburg, IL 12 Months Onsite role and we need locals or nearby resources only Job Description Senior Data Architect Responsibilities Maintaining a solid understanding of the company's data model and the ability to design solutions and processes which combine disparate data into meaningful reporting and analysis for customers and internal audiences. Understanding complex data relationships and business requirements and formulate efficient and reliable solutions to difficult problems. Communication and analytical skills to work with business owners, stakeholders, developers, and DBAs. Design and implementation of relation and star schema modelling. Articulating data definitions, content domains, data classes, subject area classification, and conformed dimensions. Collecting, maintaining, and publishing corporate metadata related to the modelling. Enforcing data governance standards, policies, and procedures for the design and proper use and care of data Developing, managing, and updating data models, including physical and logical models of the data warehouse, data mart, staging area, and the operational data store and source systems Working with business owners to define and understand business requirements of the enterprise data warehouse. Understanding the company's transactional system and data sources and identifying gaps in business processes Ensuring data accuracy in the early life cycle of the project. Performing data modelling based on Dimensional Fact Model (DFM) principle. Assisting in the design of the company's data extraction, staging, and loading to data warehouse processes to ensure that data is as consistent, clean, and accurate as possible. Acting as a key liaison to the company's Data Management Leader and developers, developing solutions to design problems, increasing efficiency and performance, and recommending best practices for data warehouse-driven reporting and analytics Developing technical documentation including requirements documents, process overviews, and data models/data flow. Interacting with data stewards for data definitions, consistency, quality, privacy, security, and conflict resolution Qualifications Strong math and analytical skills are essential to complete job requirements successfully. Able to compile and organize statistical information retrieved and present findings to management. Strong computer skills and ability to use necessary databases and software. Interpersonal and customer service skills are required when meeting with and interviewing potential clients. Excellent multitasking skills and task management strategies Ability to complete milestones and work toward multiple deadlines simultaneously. Bachelor's degree in computer science or related field 10+ years of experience in database development, information systems design and analysis experience with database technologies and the design and implementation of enterprise-level data modelling/data architecture of data warehousing and the support of business intelligence initiatives. Hands on experience with data modelling 5+ years of experience data modelling, designing, implementing, and performance management of large-scale data warehousing initiatives. Strong grasp of advanced SQL writing and query tuning/optimization Strong documentation skills (source-to-target mappings, LDM, PDM, etc) Strong written / oral communication and organizational skills Responsibilities