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Role Summary We are seeking an experienced Databricks Consultant with hands on expertise in implementing Databricks AI/BI Genie to support a short-term engagement. The consultant will guide us through real world deployment, configuration, optimization, and knowledge transfer for Genie within an Azure Databricks Lakehouse environment. Key Responsibilities • Implement and configure Databricks AI/BI Genie within Azure Databricks and Unity Catalog. • Set up Genie Spaces, connect curated datasets, define metadata, refine prompts, and optimize NLQ performance. • Advise on best practices for data preparation, governance, and security needed for Genie adoption. • Build and validate use cases using conversational BI, insights generation, and AI-driven analytics. • Provide hands on guidance with embedding Genie via API into apps, Teams, or dashboards. • Train internal teams on Genie capabilities, administration, and operational readiness. Required Skills & Experience • Strong practical experience with Azure Databricks, Lakehouse architecture, Unity Catalog, SQL Warehouse. • Knowledge of Genie AI, foundational models, or Databricks conversational analytics. • Competency in PySpark, SQL, data modeling, and enterprise data engineering practices. • Familiarity with Azure ecosystem (Data Lake, Data Factory, DevOps). • Ability to translate business questions into NLQ-friendly dataset design. • Excellent communication and ability to work with cross functional data, BI, and business teams. Nice to Have • Experience with AI/ML workloads, vector databases, or Azure OpenAI. • Prior client-facing consulting or implementation experience.
Project ID: 40239413
3 proposals
Remote project
Active 3 mos ago
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3 freelancers are bidding on average ₹243 INR/hour for this job

Hi there, I am a strong fit for this engagement because I have implemented Azure Databricks Lakehouse architectures and configured AI-driven analytics layers for production environments. I have worked with Unity Catalog governance, SQL Warehouses, curated data modeling for NLQ use cases, and embedded conversational analytics workflows into enterprise applications. I work with Azure Databricks, PySpark, SQL optimization, metadata modeling, API integrations, and secure workspace configuration aligned with enterprise governance standards. I reduce risk by structuring datasets specifically for NLQ accuracy, defining clear Genie Spaces and prompt refinement processes, validating performance against real business queries, and delivering structured knowledge transfer to internal teams. I am ready to align on your Lakehouse setup and begin with a focused implementation and optimization plan immediately. Regards Chirag
₹250 INR in 40 days
4.2
4.2

I have experience on AI project right now working with Uber AI solution then the project is about to end hands I am looking for the new project to work
₹300 INR in 40 days
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0.0

I can help implement and configure Databricks AI/BI Genie within your Azure Databricks Lakehouse, including Unity Catalog setup, Genie Spaces configuration, dataset optimization, and NLQ tuning. I will ensure proper governance, performance, and real-world use case validation, along with guidance on embedding and knowledge transfer to your internal team for long-term success.
₹180 INR in 40 days
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India
Member since Feb 18, 2026
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