SR. Data Engineer

Job Description We are seeking an experienced Senior Manager, Data Engineering to lead the delivery, operations, and continuous improvement of enterprise data platforms and engineering capabilities. This leader will be responsible for building scalable, secure, and reliable data solutions that support analytics, governance, business operations, and strategic initiatives across the organization. The ideal candidate will bring a blend of technical expertise, leadership experience, and operational excellence, with a proven ability to lead teams, modernize data environments, and deliver enterprise-scale data solutions. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. 8+ years of experience in data engineering, data integration, enterprise data platforms, or data architecture. 5+ years of leadership experience managing data engineering teams in a complex enterprise environment. Strong expertise with SQL, ETL/ELT processes, orchestration tools, and cloud-based data platforms. Experience delivering and supporting enterprise-scale data pipelines and integrations. Proven success managing cross-functional teams, stakeholders, and multiple concurrent initiatives. Experience with Azure, AWS, Snowflake, Databricks, Microsoft Fabric, or other modern cloud/Lakehouse platforms. Experience leading cloud modernization or digital transformation initiatives. Background in highly regulated industries such as healthcare or financial services. Familiarity with Agile, DevOps, and DataOps methodologies. Experience partnering closely with analytics, governance, and security teams. #J-18808-Ljbffr Insight Global