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Mid-Level Data Engineering Manager

jobright.com, Chicago, Illinois, United States, 60290

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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: iManage is dedicated to Making Knowledge Work, providing a secure and intelligent cloud-enabled platform for over 4,100 customers. As a Data Engineering Manager, you will lead a team of data engineers to design and maintain scalable data platforms, enhance the Microsoft Azure Enterprise Data Lake, and ensure compliance with data governance standards. Responsibilities: Management of a team of 3-5 data engineers following iManage best practices for people management and building a team culture consistent with iManage values. Creating a robust data engineering culture with defined frameworks for development, code review, code standards, deployment practices, testing, security, privacy, and documentation. Working with an Agile Project Manager to manage team backlog and deliver projects using an Agile Framework. Technical oversight of the iManage Enterprise Data Lake Infrastructure and other enterprise data assets. You will work closely with architects and engineers to develop a comprehensive infrastructure plan that can handle the organization's current and future data needs. Implementing quality control measures to ensure data integrity, including data validation, cleansing, and execution of defined data governance practices. Collaborating with other enterprise stakeholders, but most notably with data science, business intelligence, and IT organizations, to understand and document requirements for the companys data roadmap. Collaborating with senior and executive leadership to develop a comprehensive data vision and roadmap. Researching new tools and technologies which will enable the companys data vision while monitoring and evaluating the effectiveness of current solutions to ensure they deliver the expected value. Managing and optimizing data engineering budgets to ensure cost-effective utilization of resources. This includes identifying cost-saving opportunities, evaluating vendor contracts, and allocating budgets for data infrastructure upgrades, cost optimization, and resource allocation. Qualifications: Required: Degree in computer science, computer engineering, or technical discipline with emphasis in data engineering, data sciences, or some other data-related discipline. 3-5+ years of experience managing an engineering organization. Experience implementing data warehouses, data lakes, medallion architectures, and delta lakes. Strong capabilities in architecting data models. Experience implementing and managing data governance tools and technologies. Proficiency with data extraction, manipulation, and subsequent reporting with SQL, Spark, Python, and REST APIs. Exposure to one or more tools for real-time data streaming, such as Microsoft Event Hub or Apache Kafka. Preferred: Experience with Microsoft Azure Data Lake or Microsoft Fabric. Familiarity with Microsoft Azure Synapse. Exposure to Microsoft Power BI Semantic Model creation and management. Company: iManage provides work product management solutions. Founded in 1995, the company is headquartered in Chicago, Illinois, USA, with a team of 1001-5000 employees. The company is currently Late Stage. iManage has a track record of offering H1B sponsorships. Seniority level

Seniority level

Mid-Senior level Employment type

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Full-time Job function

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