Director, Data Engineering & Data Science Engineering
Chicago, IL, United States
USD 170K-272K (estimate) Executive-level Full Time
Tasks
- Advise leadership on data strategy technical tradeoffs and investment priorities
- Build and evolve scalable data platforms and BI architecture
- Collaborate with engineering and cross functional teams to align data and AI solutions
- Define data platform vision and delivery strategy
- Design and implement data pipelines and semantic models
- Develop dashboards and self-service analytics capabilities
- Drive execution across Microsoft Fabric Azure Synapse and Power BI
- Enable forecasting and machine learning systems
- Establish engineering practices for architecture delivery quality scalability governance and operations
- Lead data engineering and data science engineering function
- Mentor coach and grow data engineering and data science talent
- Shape roadmap for advanced analytics predictive modeling experimentation and AI insights
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Azure | Azure Synapse | Azure Synapse Analytics | CI/CD | DBT | Docker | Microsoft Fabric | Power BI | PyTorch | Python | SQL | Scikit-learn | Synapse Analytics | TensorFlow | Terraform | Vertex AI
Education
N/A
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