Engineering Manager

Tasks

• Align technical solutions with product goals and delivery constraints
• Attract interview and retain engineering talent
• Build relationships with clients and stakeholders
• Coach engineers on technical depth ownership communication and leadership
• Contribute to guilds accelerators playbooks training and knowledge sharing
• Contribute to performance reviews development plans and promotion decisions
• Foster engineering culture collaboration accountability learning and continuous improvement
• Identify gaps in skills tooling practices and processes and drive improvements
• Line manage data engineers and tech leads
• Maintain engineering quality with technology leads
• Own engineering standards best practices and architectural principles
• Partner with data science AI cloud and analytics teams for end to end solutions
• Provide technical input for presales and discovery
• Review and challenge designs for scalability reliability security performance and cost efficiency
• Serve as technical authority for data and AI platforms
• Stay current with data AI GenAI and MLOps trends and guide adoption
• Support solution design technical decision making and risk management

Perks/Benefits

• Hybrid work
• Private insurance
• Remote work options
• Tech gear
• Training budget

Skills/Tech-stack

AI Agents | AWS | Azure | Cost Optimization | Data Pipelines | Data Warehousing | Databricks | GCP | GenAI | LLM | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft Fabric | Orchestration | Performance optimization | Real Time | Real-time analytics | Reliability | Scalability | Security | Streaming Analytics