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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** Lantern - **Location:** Edmonton, KY, United States - **Salary:** $130,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Microsoft Azure, Continuous Integration, Data Architecture, Data Governance, Data Infrastructure, Data Integration, Data Warehousing, DevOps, Python (Programming Language), Machine Learning, Metadata, Performance Tuning, Power BI, DataOps, SQL Databases, Data Streaming, Enterprise Data Management, Generative AI, Data Strategy, Microsoft Fabric, Pyspark, Databricks - **Published:** September 19, 2026 - **Apply:** https://www.dice.com/job-detail/3440f013-ff28-4d4f-9910-9da5a28fbde7 ## About the Role * Extensive experience architecting and delivering enterprise data and analytics solutions in consulting or client-facing environments. * Strong hands-on expertise across Azure Databricks, Microsoft Fabric, Power BI, and the Azure modern data platform. * Proficiency in SQL and Python or PySpark, including batch, streaming, lakehouse, data warehouse, semantic-modeling, and medallion-architecture patterns. * Working knowledge of data governance, security, quality, metadata, lineage, observability, CI/CD, DevOps, performance, and cost optimization. * Excellent consulting, communication, workshop facilitation, stakeholder management, and technical leadership skills. * Ability to translate business priorities into pragmatic architectures and phased delivery plans. Preferred Certifications * Databricks Solution Architect Champion * Databricks Data Engineer Associate or Professional * Microsoft Fabric Data Engineer Associate (DP-700) or Fabric Analytics Engineer Associate (DP-600) * Power BI Data Analyst Associate (PL-300) * Relevant Databricks, Azure AI, machine learning, or generative AI credentials ## Description Lantern is seeking an experienced, client-facing Data Architect to lead enterprise data strategy, architecture, and delivery across Azure Databricks, Microsoft Fabric, Power BI, and Azure. You will advise business and technology leaders, modernize legacy platforms, and build secure, governed foundations for analytics, machine learning, generative AI, and intelligent applications., * Lead client assessments, architecture workshops, modernization strategies, and delivery roadmaps. * Design secure, scalable lakehouse, warehouse, batch, streaming, and real-time solutions using Databricks, Fabric, Power BI, and Azure. * Define data integration, modeling, governance, quality, metadata, lineage, observability, security, and cost-management standards. * Establish semantic models, CI/CD, DevOps, DataOps, and deployment patterns for modern data platforms. * Guide delivery teams through architecture reviews, technical decisions, performance optimization, and troubleshooting. * Support proposals, estimates, demonstrations, reusable accelerators, and technical sales conversations. * Mentor engineers and consultants while strengthening Lantern's Microsoft and Databricks capabilities. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)