Job Description

Responsibilities

• Design and implement natural language query agents that translate user questions into optimized BigQuery SQL.
• Build and operationalize Gemini-powered AI workflows for analytics, summarization, and forecasting.
• Develop time-series forecasting models using BigQuery ML and integrate results with Gemini for explainability.
• Implement governance, access control, and auditability for AI-driven data access.
• Integrate AI capabilities into Microsoft Teams for seamless user adoption.
• Collaborate with data engineering, security, and business teams to ensure scalable and secure solutions.
• Optimize query performance, cost controls, and data reliability in BigQuery.

Requirements

• Strong experience with Google BigQuery and SQL at enterprise scale.
• Hands-on experience with BigQuery ML or similar forecasting/statistical modeling frameworks.
• Experience working with LLMs (Gemini, Vertex AI, or equivalent) in enterprise settings.
• Knowledge of natural language to SQL patterns and retrieval-augmented generation (RAG).
• Experience integrating data or AI services into collaboration tools (Teams, Slack, or similar).
• Strong understanding of data security, RBAC, and enterprise governance.

Benefits

• Affordable medical, dental, and vision benefits.
• 401(k) plan with match.
• Company-paid disability and life insurance.
• Voluntary life insurance options.
• Employee Assistance Program (EAP).
• Identity and fraud protection.
• Recognition and wellness programs.
• Flexible paid time off.
• Remote and flexible work options.
• Paid training and certification opportunities.

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