Data Architect - St Louis, MO

7+ years in data engineering/analytics engineering with ownership of production pipelines and BI at scale Demonstrated success owning and stabilizing production data platforms and critical pipelines Strong grasp of modern data platforms (e.g., Snowflake), orchestration (Airflow), and transformation frameworks (dbt or equivalent) Competence with data integration (ELT/ETL), APIs, cloud storage, and SQL performance tuning Practical data reliability experience: observability, lineage, testing, and change management Operates effectively in ambiguous, partially documented environments; creates order quickly through documentation and standards Prior ownership of core operations and reliability for business-critical pipelines with defined SLOs and incident response Demonstrated client-facing experience (consulting/agency or internal platform teams with cross-functional stakeholders) and outstanding written/verbal communication (executive briefings, workshops, decision memos)

Design and implement end-to-end data architectures in Snowflake Define data models balancing flexibility, performance, and scalability Integrate data from source applications and operational systems Establish versioned modeling standards and documentation Build or refine semantic layers for unified metric definitions Collaborate with business owners to define KPIs and monitor adoption Implement versioned datasets and definitions Architect feature pipelines and data contracts for machine learning Collaborate with data scientists to implement reusable feature stores Monitor data quality and prevent data leakage Support event-driven architectures Integrate structured and unstructured data into generative and agentic workflows Design APIs or event structures for predictions and triggers Measure adoption and value of AI-driven workflows