Data Engineer Manager

3 days ago

Cleveland, United States Crowe Full time

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: The Data Engineer Manger will provide critical infrastructure for analytical support and solution development for the broader Enterprise using market leading tools and methodologies. In this role, you will harness your expertise in dimensional modeling and advanced data engineering skills to create and deliver robust BI solutions and data products, catering to the needs of our internal stakeholders. The ideal candidate must have deep expertise in data modeling, infrastructure development, and will be responsible for designing, developing, and maintaining the Enterprise Analytics Platform to support data-driven decision-making across the organization. Success in this role requires a strong interest in analysis, best practice knowledge, critical thinking, problem-solving, as well as excellent interpersonal, communication, listening and presentation skills. The Data team strives for an unparalleled client experience and will look to you to promote our success and image firmwide. Responsibilities Develop, optimize and standard data pipelines (ADF, Data Factory, Python), create robust data models for data publishing while complying with, and adding value to the data architecture. Perform data model design, data formatting, and ETL/ELT development (SQL) optimized for efficient storage, access, and computation to serve various use cases. Participate in the design, development, and maintenance of end-to-end Business Intelligence solutions with Microsoft's BI Stack (MS Fabric, Power BI, Synapse etc.). Participate in the analysis, design, and development of systems, including logical and physical data modeling, database design, database creation, and evaluation of data and information requirements for new applications and reports. Work with technical and business teams to understand KPIs and Metrics towards building the semantic layer and ensuring that the data is available within the data warehouse. Collaborate with the team to evaluate business needs and priorities, consult with key business partners and address team needs related to data systems and management. Mentor Junior Data Engineers to ensure alignment and adherence to best practices and design principles. Provide consultation regarding data platform terminology, concepts, and best practices. Provide on-going support for consistent, accurate, and complete data requirements, models, and definitions. Accountable for data engineering design decisions that impact solution usability, performance, scalability, and maintainability. Ensure completeness of all data platform artifacts, including technical business requirements, technical design, completed code, and implementation. Ensure the highest level of security for accessing and distribution of data. Troubleshoot production support issues post deployment and produce solutions as required. Assist the Product Owner in identifying and estimating data platform engineering tasks. Translate business requirements into technical specifications; establish and define details, definitions, and requirements of applications, components, and enhancements. Participate in project planning in Azure DevOps; identifying

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