Description

Key Responsibilities:

• Own the Databricks Lakehouse as a major data source feeding BI/analytics and the foundation for AI enablement - clusters, jobs, SQL warehouses, Unity Catalog, cost/performance, and integration into Power BI, Tableau, and Fabric.
• Use Databricks to enable AI - data prep, semantic/serving layers, and model/agent workflows that power natural-language and agentic analytics.
• Design and govern semantic models, datasets, and self-service solutions (certified datasets, metrics, definitions, glossary).
• Enable conversational/agentic analytics on Power BI, Tableau, and Fabric, and configure AI agents that help users find reports, interpret metrics, and resolve issues.
• Integrate BI tools and conversational analytics into collaboration surfaces via MCP - Slack, Microsoft Teams, Claude, and custom portals - so users can query enterprise data where they work.
• Collaborate with Data Engineering and AI teams to integrate LLMs, RAG, copilots, and agents with the analytics platforms.
• Administer Power BI, Tableau, and Microsoft Fabric (capacity, gateways, security, content lifecycle, licensing).
• Maintain connectivity, security, and performance across data sources, with Databricks as the primary source alongside SAP HANA, SQL Server, MySQL, and AWS Redshift.
• Monitor platform health, lead upgrades and onboarding of new technologies, and partner with business teams (Sales, Finance, HR, Operations).
• Provide technical support and training to analysts, power users, and business users.

 
Required Qualifications:

• 5–8 years administering enterprise BI/analytics platforms, hands-on with Power BI and Tableau (Fabric a plus).
• Deep Databricks experience - clusters, jobs, Unity Catalog, Databricks SQL - as a major data source and the foundation for AI enablement.
• Experience using Databricks to enable AI/ML and agentic workflows (model serving, RAG, agent frameworks) that feed BI and conversational analytics.
• Experience enabling conversational/agentic analytics (Power BI Copilot/Q&A, Tableau Pulse/Ask Data) and governing AI agents for end users.
• Solid understanding of AI/ML concepts: LLMs, RAG, vector search, and agent frameworks.
• Strong SQL, data warehousing, dimensional/semantic modeling, metadata management, and lakehouse architecture.
• Proficiency with Python (and/or R, Jupyter) and scripting for automation, plus cloud experience (AWS and/or Azure).
• Ability to leverage AI coding tools (e.g., GitHub Copilot, Claude Code, Cursor) to accelerate development, automation, and troubleshooting.
• Working knowledge of SAP HANA, and querying experience with SQL Server, MySQL, and AWS Redshift.
• Experience with platform upgrades/migrations and working in Agile, cross-functional teams.
• Strong troubleshooting, end-user support, and BI security/governance skills.

 
Preferred Qualifications:

• Experience integrating BI/analytics with Slack, Microsoft Teams, Claude, or custom portals via MCP (Model Context Protocol) or similar.
• Azure OpenAI, Databricks AI/ML, or similar AI platforms.
• Alteryx and data governance tools.
• Certifications in Databricks, Fabric, and Power BI a plus (Tableau, AWS, SAP HANA also valued).
• Strong communication, leadership, and stakeholder management.

 
Education:

• Bachelor's in Computer Science, Information Systems, Data Science, or related field. Advanced degree or relevant certifications a plus

Key Skills

Education

Bachelor's degree