Software Engineering Manager (Analytics & Innovation)

Covenant LLC
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Artificial Intelligence
Data analysis
Computing Platforms
Azure
Software Documentation
Software Quality
Continuous Integration
Data Architecture
Information Engineering
Data Governance
Data Sharing
Decision Support Systems
Software Design Patterns
SQL Azure
Release Management
Software Engineering
Azure
System Availability
Data Lake
Data Management
Azure
Devsecops
Databricks

Job description

  • 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 DevSecOps 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

Requirements

  • 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 DevOps 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, DevSecOps practices, CI/CD pipelines, platform reliability, and code quality across data engineering teams
  • Experience supporting Data Governance enablement initiatives and governance-focused processes/tooling

About the company

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.

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