Senior Data Architect

Position Title:Senior Data Architect Location:Corporate IT Department Coeur d'Alene or remote (Canada, US West of Rockies - ID, WA, OR, MT, CO, NV) Reports To:Vice President of IT Position Summary:Hecla is transforming current ad-hoc Excel-based reporting to a unified Microsoft Fabric data platform serving four active mine sites. We need a Senior Data Architect to architect, implement, and own this greenfield analytics platform - initially working alongside our current team of consultants, then assuming full platform ownership for long-term evolution. This is a rare opportunity to develop greenfield architecture based on modern tooling, with strong executive sponsorship, multi-year funding, and direct operational impact across mining operations. You'll move Hecla from reactive reporting to proactive visibility - enabling predictive analytics and operational optimization long term. Essential Functions and Responsibilities of the Position:Lead architectural design and implementation of Microsoft Fabric platform using the Medallion Architecture (Bronze-Silver-Gold) Design dimensional models and Power BI semantic layers for operational analytics Partner with company leadership to translate operational pain points into technical requirements Establish enterprise KPI definitions enabling cross-site comparisons while respecting site-specific needs Assume full platform ownership post-consulting engagement-responsible for operations, optimization, troubleshooting, and evolution of the analytics platform Build internal analytics capabilities through active mentorship, recruiting assistance, and knowledge transfer during consulting engagement Navigate multi-site data integration across heterogeneous systems Collaborate with Analytics Steering Committee to prioritize use cases, manage roadmap, and communicate progress to executive stakeholders Support data governance policies using Microsoft Purview to ensure compliance, security, and standardized KPI definitions across sites Design strategies for integrating real-time operational data from OT systems and transactional on-premise systems into the Fabric platform Ensure the platform is designed for scalability and performance to support predictive analytics and future AI-driven initiatives Core TechnologiesCore: Microsoft Fabric, Power BI, Azure SQL, Data Lake Gen2, Azure DevOps Integration Sources: IFS Cloud/Apps9, Ellipse, eMaint, Sage 300, PI System, Excel/CSV Patterns: Medallion Architecture, dimensional modeling, semantic layer design, data governance Qualifications: 5-8 years implementing modern cloud data platforms such as Microsoft Fabric, Azure Synapse Analytics, Databricks, or Snowflake with at least one end-to-end implementation Experience with progressive data refinement patterns (e.g., Medallion Architecture: Bronze→Silver→Gold layers). Dimensional modeling experience (Kimball/Inmon) with practical application Strong Power BI semantic modeling and DAX with enterprise datasets, not just reports Hands-on development experiences with data pipelines, ETL/ELT patterns, and production operations DevOps for analytics: Git, CI/CD, automated testing, environment management Proven ability to communicate technical concepts to executives and build trust with operations leaders Preferred QualificationsMicrosoft Fabric hands-on experience or deep Azure data platform expertise (Synapse, Data Factory, Data Lake) Microsoft certifications (Fabric Analytics Engineer Associate, Azure Data Engineer Associate) Mining, manufacturing, or process industry background Experience with real-time data collection infrastructure or operational technology (OT) integration Platform ownership experience beyond initial implementation (supporting and evolving production systems) Work RequirementsTravel: 10-20% of travel may be required, depending on business need. Work Schedule: Standard business hours with flexibility for different time zones.

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