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Chief Data Architect
3 weeks ago
Unlock new opportunities in Data and AI strategy with our esteemed organization.
About the Role:As a seasoned professional, you will partner with colleagues to design, architect, and present technical solutions. You will lead projects with a hands-on approach, conducting coding demonstrations and proof-of-concepts to showcase solution feasibility.
- Collaborate with stakeholders to drive project success across diverse industries.
- Ensure high-quality delivery with a focus on scalability, performance, and business impact.
- Mentor and guide team members as the role transitions into a leadership capacity.
- 12–20 years of experience in Data Engineering with deep expertise in Azure ecosystem.
- Minimum 3 years of hands-on experience in Generative AI (with at least 2 years of recent, practical implementation).
- Proven ability to lead complex projects and deliver enterprise-grade solutions.
- Strong client-facing and solutioning experience, including technical presentations and workshops.
- Excellent communication and leadership skills.
Azure Tech Stack Expertise (Required)
- Data Engineering: Azure Data Lake, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, Cosmos DB.
- Machine Learning & AI: Azure Machine Learning, OpenAI on Azure, Cognitive Services, Prompt Engineering, Model Fine-tuning, LLMOps.
- Orchestration & Workflow: Azure Data Factory, Azure Functions, Event Grid.
- DevOps & CI/CD: Azure DevOps, GitHub Actions, MLFlow, DVC.
- Monitoring & Security: Azure Monitor, Log Analytics, Role-Based Access Control (RBAC).
We offer competitive compensation, performance-based incentives, health benefits, company-sponsored certifications, training programs, and skill-building opportunities to ensure your continuous growth.