Data Engineering Manager

iManage • Chicago, IL

139d • $140,000 - $185,000

About The Position

Being a Data Engineering Manager at iManage means you will lead a dedicated team of data engineers responsible for designing, building, and maintaining scalable data platforms and solutions to support the organization’s data science, analytics, and Machine Learning initiatives. You will enhance our Microsoft Azure Enterprise Data Lake platform and shepherd our migration to Microsoft Fabric. You will advance the maturity of our data engineering development practices and ensure compliance with company standards for data governance, integrity, and stewardship framework. You will engage in hands-on data engineering activities as needed to maintain technical expertise and tackle team initiatives which require a high degree of technical acumen.

Requirements

• Degree in computer science, computer engineering, or technical discipline with emphasis in data engineering, data sciences, or some other data-related discipline. Master’s degree preferred.
• 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.

Nice To Haves

• Experience with Microsoft Azure Data Lake or Microsoft Fabric.
• Familiarity with Microsoft Azure Synapse.
• Exposure to Microsoft Power BI Semantic Model creation and management.

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.
• Implementing quality control measures to ensure data integrity, including data validation, cleansing, and execution of defined data governance practices.
• Collaborating with other enterprise stakeholders, notably with data science, business intelligence, and IT organizations, to understand and document requirements for the company’s 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 company’s data vision while monitoring and evaluating the effectiveness of current solutions.
• Managing and optimizing data engineering budgets to ensure cost-effective utilization of resources.

Benefits

• Market competitive salary that is applied through a consistent process, equitable for all employees, and regularly reviewed based on industry data.
• Annual performance-based bonus.
• Comprehensive Health/Vision/Dental/Life Insurance.
• 401k Retirement Savings Plan with a company match up to 4%.
• Enhanced leave for expecting parents; 20 weeks 100% paid for primary leave, and 10 weeks 100% paid for secondary leave.
• Flexible time off policy to take the time off that I need.
• Multiple company wellness days each year to prioritize mental health and well-being.
• Access to RethinkCare, a global behavioral health platform.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees