
Transformational Data Strategist
1 day ago
Deliver Business Impact through Advanced Analytics
We are committed to a growth-driven environment that fosters professional development and mutual success. Our team is dedicated to creating innovative data, AI, and cloud solutions that drive business outcomes.
About the Role:
This role requires an experienced professional with a strong foundation in data engineering and 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 consultant will collaborate with presales managers to design technical solutions, lead client discussions (including hands-on coding demonstrations), and ensure end-to-end delivery of data and gen AI projects across multiple industries.
Key Responsibilities:
- Partner with Presales Managers to design, architect, and present Azure-based technical solutions to clients.
- Lead projects with a hands-on approach in data engineering and generative AI.
- Conduct coding demonstrations and POCs to showcase solution feasibility.
- Collaborate with stakeholders to drive project success across industries such as E-commerce, Retail, Entertainment, Healthcare, Investment Holding, Supply Chain, and Real Estate.
- Mentor and guide team members as the role transitions into a leadership capacity.
- Ensure high-quality delivery with a focus on scalability, performance, and business impact.
Your Expertise:
- 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 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 (optional but preferred).
- 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).
What We Offer:
We offer a competitive compensation package, performance-based incentives, and comprehensive health benefits. Our team is committed to your continuous growth and offers company-sponsored certifications, training programs, and skill-building opportunities to help you succeed. 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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