Infinitive is seeking a Senior / Lead Data Engineer to join our team. In this role, you will act as a critical bridge between advanced AI engineering and robust, production-grade data architecture. You will be responsible for designing, deploying, and maintaining scalable data pipelines, while actively leading the integration of Agentic AI workflows into enterprise solutions.
This is a dual-impact role: you will function as the Project Lead for your specific delivery workstream, while also serving as an Internal Team Lead to collaborate with and guide other Infinitive workstreams.
Data Architecture & Engineering: Design, build, and optimize scalable data pipelines and architectures using AWS, Python, and SQL.
AI-Assisted Development: Embed NextGen developer tools (Claude, Windsurf, GitHub Copilot) into your daily workflow to accelerate engineering cycles, write cleaner code, and set best practices for the team.
Agentic AI Architecture: Design, deploy, and manage Agentic AI orchestrated workflows and multiple agent deployments within a production ecosystem.
Pipeline Deployment: Own the end-to-end proficiency of data pipeline deployments, ensuring seamless CI/CD processes and robust operational monitoring.
Workstream Ownership: Act as the Project Lead for your designated workstream, ensuring on-time delivery, clear stakeholder communication, and alignment with client objectives.
Cross-Functional Leadership: Serve as an Internal Team Lead across other Infinitive workstreams, mentoring junior engineers, driving architectural alignment, and fostering knowledge-sharing across teams.
Core Technical Stack: Strong, hands-on production experience with AWS services, advanced Python programming, and expert-level SQL.
AI & Automation Tools: Proven track record of leveraging AI-assisted coding tools, specifically Claude, Windsurf, and GitHub Copilot.
Advanced AI Implementation: Direct experience deploying Agentic AI orchestrated workflows and managing multiple AI agents in live, production environments.
DevOps & MLOps: Deep proficiency in automated pipeline deployment, monitoring, and infrastructure-as-code within cloud environments.
Risk & Compliance Mindset: Practical experience incorporating risk frameworks, security controls, and governance structures into data and AI solutions.
Leadership Experience: Demonstrated ability to operate as both a client-facing Project Lead and an internal technical mentor/Team Lead.
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