Data Architecture and Engineering Lead12+ years of experience in data architecture, data engineering, or a related technical discipline, with at least 3 years in an architectural or senior technical leadership role.Deep expertise in cloud data platform architecture, including data warehouse and lakehouse patterns (e.g., Snowflake, Databricks, Azure Synapse, BigQuery).Strong proficiency in data modeling (conceptual, logical, physical) and semantic layer design across OLTP and OLAP environments.Hands-on experience with modern ELT and data transformation tooling including Fivetran, dbt, and cloud-native integration services.Proven track record designing enterprise-grade data governance frameworks, including metadata management, data lineage, and master data management (MDM).Strong SQL skills and proficiency working with relational, columnar, and cloud-native data stores.Experience architecting data solutions that span multiple heterogeneous source systems, including ERP, CRM, field service management, and financial systems.Experience architecting data solutions for Business Intelligence reporting with common tools such as Power BI, Tableau, etc.Experience architecting data solutions to support (Gen)AI and Machine Learning.Experience supporting M&A data integration, including source system assessment, data harmonization, and post-acquisition reporting architecture.