Amazon Web Services (AWS), Artificial Intelligence (AI), Cloud Computing, Data Management, Data Science, Ecosystems, GCP (Good Clinical Practices), Microsoft Windows Azure, Performance Tuning/Optimization, Scalable System Development, Snowflake Schema, Software Engineering
Lead Data Engineer – Enterprise Cloud & AI Solutions
Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time
Overview:
We are looking for a Lead Data Engineer to support enterprise-scale cloud data and AI initiatives. This role will focus on delivering high-performance data solutions and enabling AI-driven innovation across business units.
Key Responsibilities:
- Lead the design and deployment of cloud data platforms
- Develop scalable data pipelines and optimize performance
- Collaborate with architects, data scientists, and engineering teams
Required Skills:
- Strong background in data engineering with tools like Databricks, Snowflake, or BigQuery
- Experience with cloud ecosystems (AWS, Azure, GCP)
- Hands-on implementation of large-scale data solutions
Nice to Have:
- Experience with ML/AI engineering and MLOps pipelines
- Exposure to GenAI, LLMs, or agent-based AI systems
- Understanding of AI governance, compliance, and ethical AI practices
For more details reach at resumes@navitassols.com.