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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Databricks Architect - **Company:** TechVirtue LLC - **Location:** United States (Remote available) - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Data Architecture, Data Cleansing, Information Engineering, Data Governance, Python (Programming Language), Machine Learning, Natural Language Processing, Azure Machine Learning, SQL Databases, Unstructured Data, Google Cloud, Cloud Platform System, Feature Engineering, Large Language Models, Apache Spark, Deep Learning, Generative AI, Data Lakes, Pyspark, Kubernetes, Information Technology, Machine Learning Operations, Data Pipelines, Docker, Databricks - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/f81427a2-8c6c-4bbf-95c6-63717cef0a26 ## About the Role * 12+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related fields. * Strong experience with Databricks and cloud-based data platforms. * Architect-level experience designing data science / machine learning solutions. * Strong hands-on experience with Python, PySpark, SQL, and Apache Spark. * Strong understanding of machine learning algorithms, statistical modeling, and predictive analytics. * Experience with MLflow, MLOps, model deployment, and model lifecycle management. * Experience working with large-scale structured and unstructured datasets. * Strong understanding of data engineering and modern data architecture concepts. * Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. * Strong communication, problem-solving, and technical leadership skills. Preferred Skills * Databricks certifications. * Experience with Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Databricks Workflows. * Experience designing enterprise-level AI/ML platforms. * Knowledge of Generative AI, LLMs, NLP, or deep learning. * Experience with CI/CD, Docker, Kubernetes, and automated ML deployment. * Experience with data governance, security, access control, and compliance., Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field preferred. ## Description We are seeking an experienced Data Scientist / Data Science Architect with strong expertise in Databricks, advanced analytics, machine learning, and cloud-based data platforms. The ideal candidate will have hands-on experience designing scalable data science solutions and architecting end-to-end machine learning and analytics platforms using Databricks. The candidate will work closely with data engineering, analytics, and business teams to develop and implement enterprise-grade data science solutions., * Design and architect scalable Data Science and Machine Learning solutions using Databricks. * Develop and implement advanced analytics, predictive modeling, and machine learning solutions. * Provide technical leadership for Databricks-based data science and ML platforms. * Build and optimize data pipelines, feature engineering workflows, and ML workflows. * Work with Apache Spark, PySpark, Python, SQL, and Databricks for large-scale data processing and analytics. * Design end-to-end ML solutions including data preparation, model development, training, validation, deployment, and monitoring. * Collaborate with Data Engineers, Data Architects, ML Engineers, and business stakeholders. * Apply best practices for data governance, security, scalability, performance, and cost optimization. * Work with MLflow and MLOps practices for model lifecycle management. * Evaluate new technologies and recommend appropriate data science and analytics architectures. * Provide technical guidance and mentorship to data science and engineering teams. ## 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) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## 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) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)