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Data & BI Architect

Company: LHH
Location: Lisle
Posted on: August 8, 2022

Job Description:

Position Description: Be a part of the digital transformation in the global metals supply chain. Our Client is a leader in the metals processing and distribution service center industry, is expanding its Data & Analytics team to add a Data & BI Architect. This role will have particular emphasis on expanding our cloud data and analytics capabilities. Your strategic responsibilities will include interpreting business strategy and requirements to guide tool selection, overall strategic design and specific database designs that will be executed by the data engineering team. The role will have primary focus on cloud data structures in environments such as SAP HANA, Azure, AWS and Informatica. These data environments will support our clinets fast-growing digital transformation and expansion into modern tools for modeling, visualization, AI/ML and custom applications that drive analytics, reporting and business process re-engineering for the company. The Ideal Candidate Possesses the Following Qualities: --- Experience and proven track record in a lead role throughout a data architecture modernization initiative focused on meeting the data requirements of the leading analytic tools and use cases including visualization, prediction, simulation, optimization and AI/ML. --- Superb quantitative and logical thinking skills combined with the ability to think creatively, envision relationships between data and create designs that ensure seamless and intuitive joins on them. --- Proven technical capabilities for designing, developing, implementing and tuning cloud data structures used within modern BI systems and platforms. --- Demonstrated ability to quickly learn and understand new software products and concepts, including ability to self-instruct using available texts and other resources. --- Leadership level organizational skills with emphasis on ability to organize and prioritize work to establish and meet deadlines, manage multiple projects, create and maintain documentation, and provide guidance and direction to others. --- Excellent communication and interpersonal skills; ability to interact across multiple departments and levels within a medium to large size enterprise. --- Ability to work independently or with minimal instruction or oversight. Professional and Technical Responsibilities Include: --- Design the Ryerson cloud data and analytics environment to ensure architecture meets current business needs while anticipating likely future growth requirements with easily extensible structures. --- Fulfil an important leadership role in the design of data, information and analytic governance in concert with the Ryerson IT Infrastructure and Cyber Security teams. --- Ability to support the data requirements of both traditional and leading-edge applications and uses ranging from basic SQL / SQL Server to Python, big data tools, NoSQL and similar. --- Optimize data centric collaboration across repositories spanning on premise and cloud assets using advanced tools such as Data Factory, Snowflake, etc. for creating, securing and managing data pipelines and connections. --- Assist with the quantification and tracking of business value derived from creation of data and analytic resources or monetization of data assets. --- Improve overall Enterprise Information Management including master data management, meta data management, data dictionary, catalog, glossary and lineage documentation. --- Collaborate with leaders from both IT and business disciplines (Supply Chain, Sales, Operations, Logistics, ---) at various business levels (local, regional, corporate) in support of a business user focused 'Cloud Data Marketplace'. Coordinate seamlessly with outside firms and consultants. --- Comfortable working in a fast paced, results driven environment, simultaneously supporting multiple projects of various sizes in a hybrid W-Agile project management style. --- Experience in industrial distribution, manufacturing, logistics or similar business background is preferred.Position Requirements: --- Masters or Bachelor's degree in Computer Science, Computer Engineering, Information Technology / Systems, Business Analytics or similar major. --- 10 years minimum experience in Information Technology / Systems with at least 4 years of that in a lead role of a similar data and analytics modernization lifecycle in a complex environment. --- 5-7 years of hands-on experience in data warehouse, data engineering, data modeling, MDM, ETL and related tactical roles building and implementing data and information infrastructure. --- Knowledge of SQL, Python, DAX, and other commonly used analytics languages. --- A deep understanding of Azure data stack (SPARK, Hadoop, Synapse, Kubernetes), and AWS services. --- Working knowledge of data visualization tools such as Power BI. --- Ability to conceptualize highly complex technical design issues, select the appropriate technologies and implementation approaches and clearly communicate required resources to executives. --- Occasional travel required.

Keywords: LHH, Chicago , Data & BI Architect, Professions , Lisle, Illinois

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