Software Engineering Manager – Analytics & Innovation
Company - Our client is a Fortune 100 energy and infrastructure leader driving large-scale digital transformation initiatives across enterprise operations and analytics. The organization is known for its strong culture of innovation, operational excellence, and investment in modern cloud and data technologies to support enterprise decision-making.Job Title - Software Engineering Manager – Analytics & InnovationLocation - San Antonio, TX or Findlay, OH (Hybrid – 4 days onsite per week).Open to relocation candidates.Role Type - Direct HireMust Have Skills:Strong leadership experience managing engineering teams within modern Azure-based analytics and data engineering environmentsDeep expertise with Azure Databricks, Azure Synapse, Azure SQL, Azure DevOps Services, and enterprise Azure Data Platform architectureExperience building scalable enterprise data ecosystems leveraging Lakehouse architecture, Delta Lake, and Medallion design patternsProven background driving engineering standards, DevSecOps practices, CI/CD pipelines, platform reliability, and code quality across data engineering teamsExperience supporting Data Governance enablement initiatives and governance-focused processes/toolingResponsibilities and Job Details:Lead the development, operation, and continuous improvement of enterprise Azure analytics and data platformsManage and mentor engineering teams focused on scalable cloud-first analytics and shared data servicesDrive engineering roadmap alignment with enterprise architecture, scalability, and cost-efficiency objectivesPartner cross-functionally with Data Science, Analytics, Product, Architecture, and Governance teams to deliver trusted and reusable data productsChampion governed self-service analytics and AI/ML enablement initiatives across the enterpriseEstablish and enforce engineering best practices including documentation standards, design reviews, reusable templates, and maintainable code practicesOversee DevSecOps adoption, CI/CD implementation, secure release management, and platform reliability initiativesEnsure operational accountability across staffing, employee development, performance management, and delivery executionLead modernization and transformation initiatives supporting enterprise cloud data platform adoptionPromote a culture of innovation, continuous learning, collaboration, and data-driven decision makingDrive agile delivery methodologies and continuous improvement efforts across engineering teamsSupport enterprise-wide analytics initiatives by ensuring highly scalable, secure, and reliable data platform capabilities