Responsibilities
- Architect and build the enterprise lakehouse across Microsoft Fabric, Snowflake, Databricks, or AWS, enabling unified data ingestion, transformation, and analytics
- Ensure data governance, quality, and security are embedded throughout the architecture
- Contribute to architecture decisions and ensure alignment with enterprise data strategy
- Partner closely with the VP, data engineers, analysts, and business stakeholders to translate business challenges into data/BI or AI/ML solutions
- Contribute to the end-to-end development of machine learning models—from concepting to production—supporting use cases across retail and eCommerce
- Build reusable MLOps pipelines using tools such as Azure Machine Learning, Databricks, and Microsoft Fabric
- Drive the technical roadmap for AI Foundry platforms and CoPilot integrations
- Implement best practices for model training, versioning, deployment, monitoring, and governance
- Evaluate and integrate cutting-edge ML tools and frameworks including ChatGPT, Claude.ai, and Google AI Studio
- Mentor engineers and contribute to the growth of an AI-centered engineering culture
- Other duties as assigned
Requirements
- 5+ years in data engineering or ML engineering, with at least 3 years in a senior or lead technical role
- Proven expertise in building and scaling data platforms (Azure, Fabric, Synapse, Databricks, Snowflake, or AWS)
- Strong proficiency in Python, SQL, and frameworks such as TensorFlow, PyTorch, PySpark, dbt, or MLflow
- Experience deploying and maintaining ML models in production with MLOps best practices
- Familiarity with MLOps platforms such as Azure ML, MLflow, Kubeflow, or Databricks
- Solid understanding of data modeling, ELT/ETL patterns, streaming, and orchestration (ADF, Airflow, Fabric Data Pipelines)
- Knowledge of cloud security, cost optimization, and governance
- Experience with eCommerce or Supply Chain preferred
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- Demonstrated ability to balance strategy and hands-on execution in a fast-paced environment
- Must be able to read, write, and speak English fluently