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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Resident Solutions Architect - Public Sector - **Company:** Databricks - **Location:** United States - **Experience:** Expert - **Salary:** $180,656.0 - $248,360.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Information Systems, Continuous Integration, Data Architecture, Information Engineering, Distributed Systems, Python (Programming Language), RSA (Cryptosystem), Software Deployment, Systems Integration, User-Centered Design, Google Cloud, Cloud Platform System, Apache Spark, Build Management, Information Technology, Data Management, Machine Learning Operations, Software Coding, Databricks - **Published:** May 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b93ffccdddc2ebaf ## About the Role Do you have experience in Technical writing within technology?, * 6+ years experience in data engineering, data platforms & analytics * Comfortable writing code in either Python or Scala * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one * Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps * Design and deployment of performant end-to-end data architectures * Experience with technical project delivery - managing scope and timelines * Documentation and white-boarding skills * Experience working with clients and managing conflicts * Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Ability to travel up to 30% when needed Pay Range Transparency ## Description As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: * Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases * Work with engagement managers to scope variety of professional services work with input from the customer * Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications * Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. * Provide an escalated level of support for customer operational issues * Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs * Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)