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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** Plante Moran - **Location:** Moran, United States - **Experience:** Expert - **Salary:** $110,000.0 - $181,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Applicant Tracking Systems, Architectural Patterns, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integration, Data Warehousing, Dimensional Modeling, Github, Information Lifecycle Management, SQL Azure, Power BI, Azure Data Lake, Software Engineering, SQL Databases, SQL Server Integration Services, Data Streaming, Transact-SQL, Azure Data Factory, Apache Spark, Microsoft Fabric, Pyspark, Information Technology, Data Management, Software Version Control, Data Pipelines, Api Management, Databricks - **Published:** August 24, 2026 - **Apply:** https://www.dice.com/job-detail/a3c6e233-9e1d-46f0-931c-77330a023dad ## About the Role * Bachelor's degree in Software Engineering, Computer Science, Data Science, or related area required. * 5-8 years of experience in data architecture, data engineering, analytics engineering, business intelligence, or related technical roles. * Proven experience designing and delivering enterprise-scale data and analytics solutions from discovery through implementation and production support. * Strong hands-on experience with Microsoft Fabric, including Lakehouse, Data Engineering, Data Factory, OneLake, and semantic model concepts. * Experience designing modern lakehouse, warehouse, and data integration architectures using Microsoft Fabric, Azure Data Services, Databricks, and Power BI. * Strong working knowledge of Azure Data Factory, Azure Data Lake Storage, Azure SQL, SQL/T-SQL, PySpark, and Spark-based processing. * Deep understanding of data warehousing, dimensional modeling, Medallion Architecture, data lifecycle management, and pipeline reliability. * Experience establishing engineering standards for data pipelines, source control, CI/CD, testing, pull request reviews, observability, and operational support. * Familiarity with GitHub, GitHub Actions, API integrations, data governance and lineage concepts, and legacy data platforms such as Informatica and SSIS. #LI-ED1, Interested applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of interest in our positions, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the United States without sponsorship, with the exception of qualified candidates who are bilingual in either Japanese and English or Chinese and English. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and become the property of Plante Moran. ## Description * Partner with business stakeholders, technology teams, and leadership to understand objectives, define business and data challenges, and align on practical data and analytics solutions. * Lead discovery and solution design efforts, including defining requirements, risks, dependencies, success criteria, target-state architecture, data flows, integration approaches, and implementation roadmaps. * Design scalable, secure, and governed enterprise data architectures using Microsoft Fabric, Azure Data Services, Databricks, Power BI, and related modern data platform technologies. * Establish and reinforce architecture standards, Medallion Architecture patterns, development practices, data modeling approaches, CI/CD processes, testing, observability, and operational support expectations. * Provide technical leadership across multiple concurrent initiatives, translating architecture designs into executable delivery plans and guiding teams through design, build, testing, deployment, and handoff. * Evaluate technical tradeoffs related to scalability, performance, maintainability, cost, security, governance, and long-term supportability while ensuring alignment with enterprise standards. * Serve as a trusted advisor and escalation point for complex solution decisions, helping stakeholders navigate ambiguity, balance competing priorities, and reach consensus on the path forward. * Mentor and supervise a small team of data engineers while modeling accountability, collaboration, continuous improvement, and responsible use of AI-assisted productivity tools. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)