Snowflake) and open table formats (Delta Lake, Apache Iceberg) Strong command of advanced SQL for complex data modeling, query optimization, and analytics engineering Experience with workflow orchestration tools (Apache Airflow or equivalent) and building production-grade, monitored pipelines Hands-on experience implementing data quality frameworks, observability tooling, and data lineage tracking in production environments Experienced with implementation and productionalization of GenAI and Agentic AI tooling including LLM-assisted code generation, MCP servers, and AI-powered data pipeline automation Experience with data visualization and self-service analytics platforms (e.g., Tableau, Streamlit, ThoughtSpot) and the ability to build light front-end data products Track record of staying current with industry best practices, rapidly adopting emerging technologies (e.g., vector databases, RAG pipelines, AI-native data tools), and building functional prototypes to validate conceptsAbility to work well in a fast-paced, iterative environment and deliver projects under timeline pressures Champion a culture of experimentation and continuous learning, bringing innovative and strategic thinking to reporting, business analytics, and AI-powered automation Exceptional ability to communicate complex data architecture decisions clearly to both technical peers and non-technical senior stakeholders Strong interpersonal and collaboration skills to partner effectively across functions, share knowledge, and integrate diverse feedback Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity, with a high bias for action and meticulous attention to data integrity. You'll join a team designing and building modern, scalable data infrastructure that powers analytics, machine learning, and AI-driven decision-making across Operations.