We are seeking a highly skilled Python Technical Lead to join our dynamic team, driving the design and development of distributed backend solutions while leading a team of 5+ data engineers to deliver API backends for deploying and querying various models on Azure Databricks.
Responsibilities
- Lead design, development and deployment of backend platform capabilities in a restricted Azure Greenfield environment that will host the models
- Design an API to allow querying of the models by users
- Leverage Azure Databricks to host and deploy models
- Establish process and guidelines for model deployment, including how to wrap the model in an MLflow wrapper and what the API should look like
- Implement best practices for CI/CD using GitLab, ensure code quality, testing, and deployment automation
- Lead, mentor, and manage a team of 5+ engineers, foster a collaborative and high-performance environment
Requirements
- 8+ years of experience in data engineering, with at least 2+ years in a leadership role
- Expertise in Python and key data engineering libraries, including Python Core, Multithreading, Async, REST API, Exceptions, and Pydantic
- Strong experience with Azure cloud services, including Azure Databricks, Azure App Service, and IAM/RBAC
- Proficiency in CI/CD workflows, version control (GitLab), and DevOps practices
- Familiarity with containerization and orchestration, including Docker and Kubernetes
- Strong problem-solving skills and ability to work in a fast-paced, agile environment
- Excellent communication, leadership, and stakeholder management skills