Senior Data Architect

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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 Technologies

Core: 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
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 Qualifications

Microsoft 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 Requirements

Travel: 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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