> Markdown version of [/jobs/ext/3898462-resident-solution-architect](https://www.wearedevelopers.com/jobs/ext/3898462-resident-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). --- # Resident Solution Architect - **Company:** Capgemini - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Information Engineering, Data Infrastructure, Distributed Systems, Machine Learning, Performance Tuning, Software Deployment, Apache Spark, Containerization, Data Management, Machine Learning Operations, Databricks - **Published:** October 23, 2026 - **Apply:** https://www.thejobnetwork.com/job/d20c2330-7515-43e5-a173-b6fc8496ab77/resident-solution-architect ## About the Role * 7+ years of experience in data engineering, data platforms, and analytics. \n * Completed Databricks Data Engineering Professional certification and required training curriculum. \n * Proven experience delivering 6-8+ successful projects with significant hands-on Databricks development expertise. \n * Strong experience with distributed computing using Apache Spark, including understanding of Spark runtime internals and performance optimization techniques. \n * Experience designing and deploying solutions across cloud platforms, with deep expertise in AWS, Azure, or GCP and working knowledge of at least one additional cloud ecosystem. \n * Familiarity with CI/CD pipelines, production deployment practices, and cloud-native development methodologies. \n * Working knowledge of MLOps frameworks, machine learning lifecycle management, and model deployment processes. \n * Current knowledge of Databricks products, platform capabilities, and best practices for scalability, reliability, and governance. \n ## Description As a Resident Solutions Architect, you will serve as a trusted technical advisor and hands-on leader for enterprise data and analytics initiatives. You will partner with client stakeholders and delivery teams to design, optimize, and scale modern data platforms leveraging Databricks and cloud-native technologies. This role combines deep technical expertise with consulting and architecture leadership to drive successful business outcomes.