> Markdown version of [/jobs/ext/1490127-databricks-resident-solutions-architect](https://www.wearedevelopers.com/jobs/ext/1490127-databricks-resident-solutions-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). --- # Databricks Resident Solutions Architect - **Company:** Techwizens LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Continuous Integration, Data Architecture, Information Engineering, Distributed Systems, Python (Programming Language), Software Deployment, Google Cloud, Cloud Platform System, Apache Spark, Data Management, Machine Learning Operations, Software Coding, Databricks - **Published:** July 29, 2026 - **Apply:** https://www.dice.com/job-detail/bd2afa13-f9d9-4488-ac8b-386543065ecf ## About the Role Must Have: Databricks Certified Data Engineer Professional Certification. Strongly preferred: Prior experience working in the Databricks Partner Program Databricks partner Champion Certificate * 10+ years of experience in data engineering, data platforms & analytics. * Comfortable writing code in either Python or Scala. * Extensive Working knowledge of Databricks is required. * Experience with advanced Databricks concepts such as Genie Spaces, Agents, and Genie Code. * Experience handling or leading large scale projects/customers. * Working knowledge of two or more common Cloud ecosystems (AWS, Azure, Google Cloud Platform) with expertise in at least one. * Deep experience with distributed computing with Apache Spark and knowledge of Apache Spark runtime internals * Familiarity with CI/CD for production deployments * Working knowledge of MLOps * Capable of design and deployment of highly 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 * Experience in building scalable streaming and batch solutions using cloud-native components ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [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) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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)