• Own and enhance BI infrastructure • Administer and optimize our Snowflake data warehouse (roles, performance, cost control, governance). • Maintain and scale dbt projects including core models, tests, documentation, semantic modeling, and deployments. • Manage GitLab pipelines/runners to support robust CI/CD for BI assets. • Oversee job scheduling and orchestration for BI transformations and data flows. • Own ingestion pipelines relevant to BI data needs. • Bridge the gap between Data Engineering and BI • Collaborate with Data Engineering to understand upstream mesh data products with BI analysts to understand business logic, metrics definitions, and performance targets. • Extend mesh data into curated BI data layers optimized for analytics. • Design data structures that support accurate, scalable analytics (fact tables, dimensions, semantic layers). • Participate in architectural decisions to align upstream pipelines with downstream analytical requirements. • Deliver data experiences to end users • Build custom solutions (APIs, extracts, materialized datasets, governed marts) to deliver data in the right format for each use case. • Implement robust testing, monitoring, and reliability processes for BI pipelines. • Ensure fast, reliable data availability for business stakeholders. • Support and guide BI initiatives • Partner with BI Analysts to maintain a reliable modeling environment and help unblock analytical workflows. • Recommend the most effective data modeling approaches and development processes, considering business priorities and resource limits. • Participate in tooling evaluations and decisions, ensuring solutions fit BI use cases and organizational architecture. • Provide clarity in ambiguous situations and advise leadership on risks, dependencies, and sequencing of work.