> Markdown version of [/jobs/ext/1156851-data-solution-architect](https://www.wearedevelopers.com/jobs/ext/1156851-data-solution-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). --- # Data Solution Architect - **Company:** Lumen Inc - **Location:** Washington, DC, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Business Systems, Cloud Computing, Cluster Analysis, Program Optimization, Continuous Integration, Data Architecture, Data Governance, Data Systems, Relational Databases, Software Design Patterns, DevOps, Github, Performance Tuning, SQL Databases, Data Streaming, Enterprise Software Applications, Git, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Deployment Automation, Enterprise Integration, Integration Frameworks, Terraform, Databricks, Microservices - **Published:** July 1, 2026 - **Apply:** https://www.dice.com/job-detail/9b4c8e77-b590-4482-91ea-87da9d7b3f11 ## About the Role * 8+ years of experience in Solution Architecture or Enterprise Data Architecture. * Extensive hands-on experience designing enterprise solutions on the Databricks platform. * Strong expertise with: + Databricks + Delta Lake + Delta Live Tables (DLT) + PySpark + SQL + Structured Streaming * Deep understanding of Medallion (Bronze, Silver, Gold), dimensional, and relational data modeling. * Experience designing enterprise CI/CD pipelines and Infrastructure-as-Code using Git, Azure DevOps, GitHub Actions, and Terraform. * Proven ability to collaborate with engineering teams, infrastructure teams, business stakeholders, and executive leadership. * Excellent communication, architectural governance, and technical leadership skills. ## Description We are seeking an experienced Data Solution Architect to lead the strategic architecture, integration, and governance of an enterprise Databricks Lakehouse platform. This is a highly visible architecture role where you will define enterprise standards, design scalable integration frameworks, and serve as the technical authority connecting Databricks with enterprise applications, APIs, and business systems., Solution Architecture & Enterprise Integration * Design end-to-end solution architectures using Databricks Delta Live Tables (DLT), Structured Streaming, and enterprise orchestration frameworks. * Architect integrations between the Databricks Lakehouse and downstream enterprise applications, APIs, microservices, and BI platforms. * Define enterprise data governance, lineage, and quality frameworks using Unity Catalog and DLT Expectations. * Create scalable architecture blueprints that align business objectives with modern cloud data solutions. Enterprise Standards & Technical Leadership * Establish enterprise-wide architectural standards, reusable design patterns, and engineering best practices. * Develop secure platform frameworks in collaboration with cloud infrastructure and platform engineering teams. * Lead architecture reviews, provide technical mentorship, and ensure engineering teams follow enterprise architecture principles. Platform Optimization & DevOps * Architect performance optimization strategies including: + Photon + Z-Ordering + Liquid Clustering + Liquid Partitioning * Design enterprise CI/CD strategies across Development, Test, Stage, and Production environments. * Drive Infrastructure-as-Code (IaC) and deployment automation using Azure DevOps, GitHub Actions, Git, and Terraform. * Optimize cloud performance while maintaining cost efficiency (FinOps). ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [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) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [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) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## 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) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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)