Role overview
- Apply your Data/AI engineering expertise across multiple client scenarios, from designing ingestion pipelines and operating Databricks at scale to leading Azure AI services and establishing platform governance.
- Influence architecture and model choices in regulated environments, ensuring resilience, performance, and compliance.
What you'll work on
- Extend and maintain the clients Data Platform (Databricks) in Azure based on current needs and evolving requirements.
- Lead and oversee the deployment of AI Azure services including AI Foundry, AI Search, OpenAI service and Document Intelligence, and serve as its technical owner.
- Set up governance and ensure Data Security and Compliance across Azure Services in the Data Platform.
- Design and implement data ingestion pipelines for AI initiatives.
- Collaborate with cross-functional teams working on AI projects.
- Provide technical guidance and mentorship to colleagues as necessary.
- Offer expert advice on architectural discussions, AI model selection, and other technical decisions.
- Develop and maintain documentation for data and AI infrastructure processes.
What we're looking for
- Proven experience as a Data/AI Engineer.
- Expert in Databricks with at least 3 years of practical experience.
- Experience with Azure AI Services.
- Experience with Infrastructure as Code using Terraform
Skills:
- AI Azure Services
- Azure
- Data Pipeline and ETL Processes
- Databricks
- Infrastructure as Code (Terraform)
- Performance Tuning and Optimization
- Python
- Spark
- SQL
Tags & focus areas
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