- Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions, balancing data quality, business value, and speed.
- Build and maintain natural language interfaces to data and analytics, applying GenAI/LLM techniques to make data more accessible across the business.
- Use GenAI coding tools and practices in daily development to improve code quality, testing, and delivery speed.
- Continuously evaluate new technologies that could improve and scale the team's data platform and technology stack.
- Establish and follow standards for SQL development, data modeling, testing, documentation, code reviews, and production support.
- Support production data pipelines through on-call rotation and incident response, partnering with engineering, analytics, and business teams.
- Document and maintain expertise in the technology stack and product domain, translating business needs into technical solutions with product management.
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