> Markdown version of [/jobs/ext/2985403-lead-application-data-architect](https://www.wearedevelopers.com/jobs/ext/2985403-lead-application-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lead Application & Data Architect

- **Company:** Wolters Kluwer
- **Location:** Coppell, TX, United States
- **Experience:** Expert
- **Salary:** $107,500.0 - $188,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Vault Modeling, Data Warehousing, Dimensional Modeling, Machine Learning, Metadata, Meta-Data Management, Microsoft SQL Server, Pentaho Data Integration, Power BI, Cloud Services, Azure Data Lake, SQL Server Integration Services, Transact-SQL, Azure Data Factory, Sql Optimization, Apache Spark, Generative AI, HybridCloud, Microsoft Fabric, Pyspark, Information Technology, Data Analytics, Qlikview, Enterprise Integration, Data Management, Azure Synapse Analytics
- **Published:** September 18, 2026
- **Apply:** https://dejobs.org/x/x/847311922B11428DA7A4D729612F5EA4/job/

## About the Role

* Bachelor degree in Computer Science, Information Systems, Engineering, Mathematics, or related field.
 * 8+ years of experience in data architecture, data engineering, data warehousing, or analytics.
 * 3+ years in a senior architecture or technical leadership role.
 * Experience designing enterprise-scale cloud data platforms and modernization initiatives.

Required Technical Skills

 * Microsoft Fabric
 * Azure Data Factory
 * Fabric Data Factory
 * SQL Server
 * Azure Data Lake Storage
 * OneLake
 * Enterprise Data Architecture
 * Dimensional Modeling
 * Data Vault
 * ETL/ELT Architecture
 * CDC
 * Data Governance
 * Metadata Management
 * Advanced SQL and T-SQL

Preferred Qualifications

 * Azure Synapse Analytics
 * Spark and PySpark
 * Power BI
 * Infrastructure as Code
 * CI/CD for data platforms
 * AI and machine learning platform experience
 * Enterprise architecture governance experience
 * Specification-Driven Development experience

Legacy Platform Experience (Beneficial)

 * Qlik Replicate
 * Qlik Compose
 * SSIS
 * Pentaho Data Integration
 * Legacy data warehouse modernization
 * Hybrid cloud and on-premises architectures

Knowledge & Competencies

 * Enterprise architecture principles
 * Data platform modernization
 * Data products and data mesh concepts
 * Lakehouse architectures
 * Hybrid cloud architectures
 * Strong stakeholder management and communication skills
 * Strategic technology planning and roadmap development

## Description

We are seeking an experienced Data Architect to define, govern, and evolve the enterprise data architecture that supports analytics, reporting, operational intelligence, artificial intelligence, and emerging data-driven business capabilities. This role provides architectural leadership across Microsoft Fabric, OneLake, Data Warehouses, Lakehouses, Azure Data Factory, Fabric Data Factory, SQL Server, and enterprise integration platforms. Our engineering organization has adopted Specification-Driven Development (SDD) as a core delivery discipline, and AI is a strategic priority., Define enterprise data architecture strategy, design scalable and governable platforms, establish standards and best practices, provide architectural leadership for Microsoft Fabric adoption, support modernization initiatives, and enable AI-ready data foundations., * Develop and maintain the enterprise data architecture roadmap.

 * Establish target-state architectures for analytics, reporting, AI, and operational workloads.
 * Lead Microsoft Fabric architecture and governance including OneLake, Lakehouse, Data Warehouse, Fabric Data Factory, semantic models, and security.
 * Define standards for dimensional modeling, Data Vault, fact and dimension design, and slowly changing dimensions.
 * Establish ETL/ELT architecture standards across Azure Data Factory, Fabric Data Factory, SSIS, and Pentaho.
 * Create governance frameworks for data quality, lineage, metadata, security, privacy, and compliance.
 * Define AI-ready data architecture patterns and support AI, machine learning, and generative AI initiatives.
 * Conduct architecture reviews, mentor engineers, and establish reference architectures.
 * Promote Specification-Driven Development and architecture-first practices., * Define and execute enterprise data architecture strategy.
 * Establish Microsoft Fabric as the strategic analytics platform.
 * Create reusable architecture patterns.
 * Improve enterprise data quality, governance, security, and reliability.
 * Standardize warehousing, ETL/ELT, and analytics architecture practices.
 * Enable scalable AI and advanced analytics solutions.
 * Deliver architecture standards through disciplined SDD practices.
 * Lead modernization from legacy environments to Microsoft Fabric.
 * Work on a team leading in the adoption of Microsoft Fabric and AI-enabled data engineering capabilities.


## Related Videos

- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag)
- [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)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [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)
- [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)