Enterprise Data Architect

Position Summary: Seeking a hands-onSr. Solution Architectto lead end-to-end architecture acrossData, Analytics, and AI. The architect will design and guide enterprise data platforms, data products, lakehouse architecture, and AI/ML capabilities while partnering closely with engineering, data science, infrastructure, and business teams. Mandatory Requirements15+ yearsof experience in data engineering, data architecture, analytics, or related technology disciplines. 5+ yearsof hands-on Snowflake architecture and engineering experience — REQUIRED. StrongAI/ML architecture experience — REQUIRED, including experience with AI/ML data infrastructure, RAG, vector databases, embeddings, or MLOps. Strong experience withMicrosoft Fabric or Azure Synapse Analytics. Enterprise-scaledata lakehouse architectureand data product experience. StrongPower BIarchitecture and semantic modeling experience. Experience designing modernETL/ELT data pipelinesusing technologies such as Azure Data Factory, Fabric Data Factory, or dbt. Experience with data governance, security, data quality, metadata, lineage, and enterprise architecture.

Key Responsibilities: Own end-to-end architecture for data, analytics, and AI platforms. Lead architecture acrossSnowflake, Microsoft Fabric, Azure, and Power BI. Design scalable lakehouse, data product, ingestion, and integration architectures. Define architecture forAI/ML workloads, including RAG, vector stores, embeddings, feature engineering, and MLOps. Establish architectural standards, governance, security, and best practices. Partner with engineering, data science, infrastructure, application development, and business teams. Provide technical leadership, architecture reviews, and mentorship. PreferredTOGAF certification or enterprise architecture framework experience. Experience inconstruction, facilities management, building services, or related industries. Experience with Kafka, Azure Event Hubs, Microsoft Purview, dbt, Monte Carlo, or Great Expectations.