> Markdown version of [/jobs/ext/4562574-solution-data-architect](https://www.wearedevelopers.com/jobs/ext/4562574-solution-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). --- # Solution / Data Architect - **Company:** Resourcesoft, Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Adaptable Database Systems, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Health Informatics, Custom Software, Data Architecture, Data Integration, Data Security, Power BI, Tableau (Software), Enterprise Data Management, Delivery Pipeline, Snowflake, Data Layers, Looker Analytics, Data Pipelines, User Identification, Databricks - **Published:** November 4, 2026 - **Apply:** https://www.dice.com/job-detail/050ca1db-da16-43ec-9f10-2d4ed33b1b33 ## About the Role * 10 years or more of experience designing enterprise data and analytics solutions across cloud, BI, and data integration environments. * Proficiency in Snowflake, Databricks, Azure, AWS, and modern cloud data architecture. * Experience with Power BI, Tableau, Looker, embedded analytics, semantic layers, and row-level security. * Experience with data integration, automated pipelines, analytical data models, identity resolution, data quality, and recurring refreshes. * Experience with data security, access controls, sensitive data, healthcare analytics, commercial datasets, and distributed engineering teams. * Excellent verbal and written communication skills ## Description * Design end-to-end data architectures spanning ingestion, transformation, modeling, storage, analytics, and client-facing delivery. * Define secure cloud integration patterns, data pipelines, access controls, processing environments, and scalable data models. * Determine whether BI platforms, custom applications, or hybrid solutions best meet technical and business needs. * Architect identity resolution, crosswalks, semantic layers, automated refreshes, quality controls, monitoring, and incident processes. * Direct engineering and BI teams through technical specifications, architecture standards, acceptance criteria, and solution reviews. * Develop reusable architecture patterns while balancing scalability, security, cost, delivery speed, and maintainability.