
Data Architectural Specialist
1 day ago
Unlock Your Potential as a Data & AI Visionary
About the Role:We are seeking an exceptional professional with a strong foundation in data engineering and proven expertise in Generative AI. The ideal candidate will have 12–20 years of experience in data engineering, with at least 3 years (last 2 years acceptable) of hands-on work in Generative AI.
This role involves collaborating with cross-functional teams to design technical solutions, lead client discussions, and ensure end-to-end delivery of Data & GenAI projects across multiple industries.
- Partner with stakeholders to craft Azure-based technical solutions for clients.
- Lead projects with a hands-on approach in Data Engineering and Generative AI.
- Conduct coding demonstrations and POCs to showcase solution feasibility.
- Mentor and guide team members as the role transitions into a leadership capacity.
The consultant will be responsible for:
- Designing, architecting, and presenting Azure-based technical solutions to clients.
- Leading complex projects and delivering enterprise-grade solutions.
- Developing and maintaining Azure Tech Stack Expertise in Data Engineering, Machine Learning & AI, Orchestration & Workflow, DevOps & CI/CD, Monitoring & Security.
To be successful in this role, you will need:
- 12–20 years of experience in Data Engineering with deep expertise in the 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 high-quality solutions.
- Strong client-facing and solutioning experience, including technical presentations and workshops.
At our organization, we offer:
- A competitive compensation package.
- Performance-based incentives.
- Health benefits.
- Company-sponsored certifications, training programs, and skill-building opportunities.
We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity.
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