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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Data Architect - **Company:** The Unison Group LLC - **Location:** Charlotte, NC, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), DevOps, Apache Hive, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Prometheus, SQL Databases, Data Streaming, Cloud Platform System, Pytorch, Snowflake, Apache Spark, Deep Learning, Generative AI, Git, Data Lakes, Scikit Learn, Kubernetes, Infrastructure Automation Frameworks, Data Management, Machine Learning Operations, Api Design, Cloudwatch, Terraform, Splunk, Data Pipelines, Databricks, Microservices - **Published:** August 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=791da096375caa98 ## About the Role * We're seeking a hands-on experience in Databricks with deep technical expertise in building and optimizing Lakehouse-based data and AI solutions. * In this role, you'll design, develop, and operationalize Delta Lakehouse architectures using Databricks, driving real-world outcomes for enterprise customers. You'll take ownership of implementation tasks, lead technical delivery, and mentor engineering teams in best practices across data engineering, governance, and AI., * Strong hands-on experience with Databricks, including workspace setup, notebooks, clusters, and job orchestration. * Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses. * Proficiency in Python or Scala for data engineering and ML workflows. * Strong understanding of AWS, Azure, or GCP cloud ecosystems. * Experience with Terraform automation, DevOps, and MLOps practices. * Familiarity with monitoring and governance frameworks for large-scale data platforms. Good to Have Skills: * Machine Learning, Deep Learning, NLP, or Generative AI * Designing distributed and scalable systems * API-first and microservices architecture * Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn) * MLOps tools (MLflow, Kubeflow, SageMaker, etc.) * Data platforms (Spark, Databricks, Snowflake) ## Description * Design and implement scalable data pipelines using Delta Live Tables (DLT), Spark SQL, Python, or Scala. * Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability. * Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies for secure, governed environments. * Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines. * Implement observability, cost optimization, and monitoring frameworks using tools like Splunk, Prometheus, or CloudWatch. * Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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) - [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) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)