We're seeking a Data Architect to design modern, AI-ready data architectures across multiple client engagements. This role sits at the intersection of data modeling, semantic layer design, feature engineering, and AI enablement.
Requirements
- 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).
Benefits
- Competitive base salary with performance-based bonuses