• Coach engineers through clear expectations, feedback, and career development • Hire and retain top talent and build a high-performance, inclusive culture • Establish strong delivery and operational rituals, including planning, retrospectives, and incident reviews • Define and evolve the architecture for ingestion, transformation, orchestration, governance, and data products • Drive a roadmap that balances foundational platform investments with product delivery needs • Champion best practices, including dbt patterns, data contracts, testing, and documentation • Ensure pipelines and models are accurate, observable, secure, and scalable • Improve reliability through alerting, SLAs and SLOs, runbooks, and root-cause analysis • Partner with platform engineering on deployment patterns, cost optimization, and environment strategy • Collaborate with Product, Analytics, Security, and Engineering leaders to ensure data enables customer and business outcomes • Communicate clearly with stakeholders on tradeoffs, risks, and timelines • Influence the broader organization on data quality, trust, and accountability • Stay close to the work through architecture reviews, pairing, design docs, and occasional implementation • Bring strong judgment to tooling and build-versus-buy decisions across Snowflake, DBT, and Sigma