Team Lead, Engineering, Data & AI

🕒 May 11

🎸 Tennessee – Remote

🎸 Tennessee – Remote

⏰ Full Time

🟠 Senior

🖥 Software Engineer

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Arctiq

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏢 Enterprise

☁️ SaaS

🔐 Security

Enterprise • SaaS • Security

Arctiq is a company that specializes in providing transformative infrastructure, security, and platform engineering solutions. They focus on enterprise security, modern infrastructure, and platform engineering, helping businesses architect practical and efficient solutions using world-class technologies. Arctiq offers managed security services, cloud security, and modern infrastructure solutions such as wireless networking and hybrid cloud infrastructure. They work with various sectors including healthcare, education, government, and more to enhance connectivity and bolster security using innovative technologies. Their services cover comprehensive infrastructure and security needs, from video surveillance in schools to smart city initiatives and cloud-native solutions for industries like oil & gas.

📋 Description

• Own the end-to-end delivery of a portfolio of fixed-price client engagements • Maintain rigorous visibility into project health across the team • Lead scope management with discipline • Ensure project financials are accurate and current • Conduct structured post-engagement reviews • Partner with sales and business development to scope new client opportunities • Lead or oversee effort estimation for engineering deliverables • Review and sign-off on SOW language relating to engineering deliverables • Serve as the senior engineering point of contact for clients • Proactively communicate project status, risks, and decisions • Lead difficult conversations when engagements are off-track • Lead, coach, and develop a team of solution engineers • Assign engineers to engagements thoughtfully • Build and continuously improve delivery playbooks, estimation templates, and reusable accelerators

🎯 Requirements

• 7+ years in data engineering, ML/AI engineering, or closely adjacent technical discipline • 3+ years in an engineering leadership or delivery management role within a professional services, consulting, or systems integration firm • Demonstrated experience owning fixed-price or outcome-based client engagements • Track record of building and developing high-performing engineering teams in a client-delivery context • Experience supporting pre-sales processes, including scoping, estimation, and proposal development • Strong working knowledge of modern cloud data platforms (e.g., Databricks, Microsoft Fabric, BigQuery, etc.) • Familiarity with AI and ML engineering — including model deployment, MLOps, and practical application of LLMs (RAG pipelines, prompt engineering, API integration) • Proficiency in Python and SQL; hands-on familiarity with dbt, Airflow, Spark, or equivalent transformation and orchestration tooling • Ability to read, review, and provide meaningful technical feedback on engineering work • Understanding of DataOps principles: CI/CD for data, data quality frameworks, testing, and observability in production

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities