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Software Engineering Manager – Analytics & Innovation
Job in
San Antonio, Bexar County, Texas, 78208, USA
Listed on 2026-05-17
Listing for:
Covenant HR
Full Time
position Listed on 2026-05-17
Job specializations:
-
IT/Tech
Data Engineering, Data Science Manager
Job Description & How to Apply Below
Overview
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 & Innovation
Location - San Antonio, TX or Findlay, OH (Hybrid – 4 days onsite per week).
Open to relocation candidates.
Role Type - Direct Hire
Must Have Skills- Strong leadership experience managing engineering teams within modern Azure-based analytics and data engineering environments
- Deep expertise with Azure Databricks, Azure Synapse, Azure SQL, Azure Dev Ops Services, and enterprise Azure Data Platform architecture
- Experience building scalable enterprise data ecosystems leveraging Lakehouse architecture, Delta Lake, and Medallion design patterns
- Proven background driving engineering standards, Dev Sec Ops practices, CI/CD pipelines, platform reliability, and code quality across data engineering teams
- Experience supporting Data Governance enablement initiatives and governance-focused processes/tooling
- Lead the development, operation, and continuous improvement of enterprise Azure analytics and data platforms
- Manage and mentor engineering teams focused on scalable cloud-first analytics and shared data services
- Drive engineering roadmap alignment with enterprise architecture, scalability, and cost-efficiency objectives
- Partner cross-functionally with Data Science, Analytics, Product, Architecture, and Governance teams to deliver trusted and reusable data products
- Champion governed self-service analytics and AI/ML enablement initiatives across the enterprise
- Establish and enforce engineering best practices including documentation standards, design reviews, reusable templates, and maintainable code practices
- Oversee Dev Sec Ops adoption, CI/CD implementation, secure release management, and platform reliability initiatives
- Ensure operational accountability across staffing, employee development, performance management, and delivery execution
- Lead modernization and transformation initiatives supporting enterprise cloud data platform adoption
- Promote a culture of innovation, continuous learning, collaboration, and data-driven decision making
- Drive agile delivery methodologies and continuous improvement efforts across engineering teams
- Support enterprise-wide analytics initiatives by ensuring highly scalable, secure, and reliable data platform capabilities
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