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Senior Data Architect

Job in Coeur d Alene, Kootenai County, Idaho, 83814, USA
Listing for: Hecla Mining Company
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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.

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 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
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
  • 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
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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Mining

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Position Requirements
10+ Years work experience
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