Sr Manager, Data Engineering

3 weeks ago

Chicago, United States 1872 Consulting Full time

Sr Manager, Data Engineering Chicago, IL – hybrid WFH: 2 days onsite in the loop; 3 days work from home Summary We're looking for a Sr Data Engineering Manager to build out a centralized data platform to power AI and Analytics within our organization. This is a fairly new initiative within the last 12-18 months, and we're looking for the right person to come in to lead the build out, and grow a team over time. You'll start with 3 direct reports, and have budget to grow a team to 5+ in 2026. We are a Microsoft/Azure shop primarily, but are open to expanding to multicloud so any multicloud experience is a big nice to have. Key technologies we use today are Azure, Databricks and SQL. What you’ll be doing Support the execution of data strategy by contributing to initiatives that uphold high standards of data quality, security, and performance in alignment with organizational objectives. Manage the implementation and enhancement of scalable data architectures that support analytics, machine learning, and AI capabilities under the guidance of the Director Lead the development and continuous evolution of scalable, robust, and business-aligned data platforms & pipelines, driving the adoption of modern tools and technologies, including cloud-native services, distributed computing, and real-time data processing. Collaborate with cross-functional partners—including AI, BI, Product, Operations, and support teams—to align on project-level priorities and ensure integrated execution across teams. Design and implement robust processes and tooling to ensure comprehensive data visibility, enable actionable insights, and drive data-centric awareness across the organization. Contribute to the maintenance and improvement of data governance practices, helping to ensure data integrity, accessibility, and compliance with regulations such as GDPR. Translate technical concepts and progress updates into clear communications for internal stakeholders, supporting alignment with broader data and technology goal Assist in vendor assessments and contribute to the evaluation of third-party tools and services to ensure alignment with technical and budgetary goals. Hires, develops, coaches, and supervises direct reports. Conducts annual performance reviews. Skills we’re seeking Bachelor’s Degree is a requirement – ideally in Computer Science or an IT, Data or AI related field 7+ years of Data Engineering experience (more the better) 3+ years of managerial experience, managing a team of technical direct reports While this is a manager position, we’re looking for a “buck stops here” technical leader, who is strong with the following: Azure Data Engineering: Data Lake, ADF, Databricks, etc. Databricks is a must have Spark and/or Kafka Data modeling SQL BI Nice to haves Experience leading the build outs of centralized data platforms being used to power AI insights Multi-cloud experience with AWS or GCP Experience managing CI/CD for data pipelines Agile leadership experience #J-18808-Ljbffr

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