- Location
- United States · published
- Department
- Management
- Source
- Workable
Description
Coretek is seeking an Azure Data & AI Consultant to design, implement, and optimize modern data and AI solutions on the Microsoft Azure platform. In this role, you will partner closely with clients to modernize data platforms, enable advanced analytics, and deliver AI-driven insights that support business transformation. You will be responsible for building scalable data pipelines, integrating AI services, and ensuring solutions align with industry best practices. This role requires strong technical expertise in Azure data services, experience with AI integration, and the ability to work effectively in a client-facing consulting environment.
Key Responsibilities
- Client Engagement: Act as a trusted advisor by conducting workshops, gathering requirements, and presenting solutions to both technical and business audiences.
- Data Platform Development: Design and implement Azure-based data solutions using Microsoft Fabric, Azure Synapse Analytics, Databricks, and Azure database systems (SQL, Cosmos DB, Postgres).
- Data Engineering: Build robust ETL/ELT pipelines to ingest, transform, and integrate large volumes of structured and unstructured data from diverse sources.
- AI Integration: Leverage Azure AI Services, Azure OpenAI, Azure Machine Learning, and Cognitive Services to deliver intelligent business solutions.
- Solution Architecture Support: Collaborate with architects to design scalable, secure, and high-performance Azure Data & AI architectures.
- DevOps & Automation: Implement version control, CI/CD pipelines, and automation using Azure DevOps, GitHub Actions, and Infrastructure as Code tools (Bicep, Terraform).
- Data Governance & Security: Ensure compliance with data governance, privacy, and security requirements including RBAC, encryption, and identity management.
- Analytics & Visualization: Develop advanced reporting and interactive dashboards with Power BI to deliver actionable insights to stakeholders.
- Knowledge Sharing: Mentor junior team members, contribute to internal best practices, and stay current with Azure Data & AI innovations.