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Remote role with specialized data-presales skills but senior experience reduces candidate pool.
Requires deep Azure/Databricks and enterprise AI presales experience, limiting cross-industry transferability.
Explicit 10-14 years requirement plus specific Azure/Databricks/AI skills enforces strict filters.
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Lead client engagements to translate business challenges into data and AI solutions, including solution design, demos, POCs, and proposal development.
Design and present end-to-end solutions using Azure, Databricks, Microsoft Fabric, Purview/Informatica, Azure OpenAI, Power BI, and data lakehouse architectures.
Conduct client workshops, technical presentations, and collaborate with delivery teams to build proposals and solution architectures focused on AI-driven testing, data governance, and pipeline monitoring.
Experience Required: 10-14 years in data engineering, governance, analytics, and AI domains.
Strong expertise with Azure Data Platform, Databricks, Microsoft Fabric, Purview/Informatica, Azure OpenAI, and data lakehouse architectures.
Proven ability to design and demonstrate AI-driven solutions such as AI for data quality, code generation, and agentic AI for pipeline monitoring.
Work Location: Remote, Full-Time engagement as a freelancer.
Demonstrated track record in leading technical discussions and showcasing real-world AI and data use cases tied to business value and ROI.
Strong skills in solutioning and stakeholder management, able to build trust and drive opportunities from discovery to proposal and POC completion.
Experience working across presales activities including client workshops, demos, and collaborating with delivery teams to architect solutions.