Lead Data Engineer

Role Summary: Seeking a Tech Lead to lead a team of developers in designing, developing, and delivering scalable AI/Data solutions. The role involves technical leadership, solution architecture, mentoring, and hands-on development using modern cloud, AI, and data technologies.

• Lead and mentor development teams.
• Design and review scalable application architectures.
• Drive software development, testing, deployment, and production readiness.
• Collaborate with business stakeholders and solution architects.
• Ensure code quality, performance, security, and governance standards.
• Manage technical delivery, estimates, and project planning.
• Evaluate and implement new technologies and best practices.

Strong experience with Python, SQL, AWS, and Databricks. Expertise in AI/LLM technologies: RAG, Prompt Engineering, Agentic Workflows, Vector Databases, Bedrock. Experience with Databricks (Genie, Unity Catalog, Delta Lake, MLflow, Databricks SQL). Knowledge of REST APIs, OAuth/OIDC, ETL/ELT, Data Modeling, and Data Governance. Experience with Terraform, GitLab, CI/CD, Docker, and cloud-native architecture. Strong understanding of solution architecture, security, design reviews, and production support.

AWS: Lambda, S3, Glue, Athena, CloudWatch, ECS/Fargate, Step Functions. AI Frameworks: LangChain, LangGraph, Amazon Bedrock. Frontend: Vue.js, JavaScript. Testing: PyTest, SonarQube, Ruff, Black.

10+ years in Software Development/Data Engineering. 3+ years leading technical teams and enterprise-scale AI/Data platforms. Strong stakeholder management, communication, and mentoring skills. Domain: AI, Data Engineering, Analytics, Decision Support Systems, Airline Operations.

For applications and inquiries,