Senior Data Architect
Listed on 2026-01-14
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IT/Tech
Data Analyst, Data Engineer, Data Science Manager, Cloud Computing
Join to apply for the Senior Data Architect role at Hecla Mining Company
Position Title: Senior Data Architect
Location: Corporate IT Department Coeur d’Alene or remote (Canada, US West of Rockies – , 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.
- 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:
Microsoft Fabric, Power BI, Azure SQL, Data Lake Gen2, Azure Dev Ops - Integration Sources: IFS Cloud/Apps9, Ellipse, eMaint, Sage 300, PI System, Excel/CSV
- Patterns:
Medallion Architecture, dimensional modeling, semantic layer design, data governance
- 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
- Dev Ops for analytics:
Git, CI/CD, automated testing, environment management - Proven ability to communicate technical concepts to executives and build trust with operations leaders
- 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)
Travel: 10-20% of travel may be required, depending on business need.
Work Schedule: Standard business hours with flexibility for different time zones.
Seniority levelMid-Senior level
Employment typeFull-time
Job functionEngineering and Information Technology
IndustriesMining
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