via DailyRemote
$150K - 220K a year
Design and lead scalable, secure enterprise data platform architecture on Snowflake and Azure, including ingestion, transformation, governance, and AI/ML readiness.
12-20 years technology experience with strong enterprise data architecture and hands-on Snowflake on Azure expertise, plus Azure services and security governance knowledge.
Solution Architect Snowflake on Azure Location: Remote (USA) Type: Full-Time We are looking for a Solution Architect with deep expertise in Snowflake on Azure to lead the design of a scalable, secure enterprise data platform. The role focuses on defining future-state architecture, optimizing ingestion and transformation workflows, and enabling analytics and AI/ML readiness. Responsibilities • Design end-to-end data architecture using Snowflake on Azure, including landing zones and cloud standards. • Build ingestion, transformation, and orchestration workflows with Azure Data Factory, Event Hub, and Fabric Data Factory. • Implement governance, security-by-design (RBAC/ABAC, encryption), and compliance alignment. • Develop metadata-driven pipelines aligned with Medallion Architecture (Bronze/Silver/Gold). • Integrate Snowflake with BI tools, APIs, and data science platforms. • Ensure readiness for real-time data flows, automation, and AI/ML workloads. • Partner with engineering teams and SMEs on architectural decisions and roadmap execution. Required Skills & Experience • 12 20 years of overall technology experience, with strong enterprise data architecture exposure. • Hands-on experience with Snowflake on Azure (RBAC, optimization, performance tuning). • Strong expertise in Azure Data Factory, Event Hub, Azure Functions, and related Azure services. • Experience designing Medallion architecture and scalable ingestion frameworks. • Strong understanding of governance, IAM, security, and compliance. • Experience with real-time and batch data pipelines. • Excellent communication and architectural decision-making skills. Preferred Qualifications • Experience with Azure Fabric, Databricks, Spark, or advanced analytics platforms. • Exposure to AI/ML, vector databases, or LLM-ready architecture. • Consulting experience in enterprise data modernization.
This job posting was last updated on 12/5/2025