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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Solution Architect - **Company:** Radancy - **Location:** Washington, DC, United States (Remote available) - **Experience:** Expert - **Salary:** $130,000.0 - $216,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Audit Trail, Automation of Tests, Microsoft Azure, Cloud Computing, Cyber Security, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Database Applications, DevOps, Identity and Access Management, Python (Programming Language), Machine Learning, Metadata Repositories, Metadata Standards, Release Management, Cloud Services, SQL Databases, Systems Integration, Workflow Management Systems, ReactJS, Apache Spark, Git, Infrastructure Automation Frameworks, Information Technology, Data Management, Machine Learning Operations, Api Design, Terraform, Databricks - **Published:** July 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=01c261c1b7d1e2af ## About the Role * Bachelor's degree in computer science, engineering, or another relevant field. * 5-10 years of relevant experience in data architecture, cloud data platforms, data engineering, platform engineering, or technical solution delivery. * Hands-on experience designing, implementing, or administering Databricks environments, including workspaces, jobs, clusters, SQL warehouses, notebooks, repos, and platform configurations. * Strong experience with SQL, Python, and Spark-based development for data engineering, automation, and platform operations. * Strong experience with Unity Catalog, including access controls, catalogs, schemas, external locations, storage credentials, lineage, and governed data organization. * Experience with cloud platforms such as Azure, AWS, or GCP, including identity, networking, storage, security, and deployment considerations for cloud-native data platforms. * Experience developing architecture artifacts, technical designs, platform standards, implementation roadmaps, and operational documentation for technical and non-technical audiences. * Ability to lead technical discussions with clients, evaluate tradeoffs, communicate architecture decisions, and work effectively in consulting or project-based delivery environments. * Familiarity with data governance, DevOps, CI/CD, infrastructure automation, monitoring, cost management, and secure software delivery practices., * Active Databricks certification, such as Databricks Certified Data Engineer, Machine Learning Engineer, GenAI Engineer, or related professional certification. * Experience architecting and administering advanced AI/ML and application capabilities within Databricks (MLflow, AI Gateway, Genie One, Databricks Apps). * Experience developing Databricks Apps or similar data-driven applications, including React-based front ends, API architecture, secure integration patterns with Delta Tables and Unity Catalog, and agentic workflow patterns that incorporate Databricks Agents or other AI-enabled services. * Experience supporting regulated, public sector, utilities, financial services, healthcare, or other security-sensitive environments. * Experience with Terraform, Databricks Asset Bundles, Git-based deployment patterns, automated testing, release management, or CI/CD pipelines for Databricks workloads. * Experience integrating Databricks with enterprise identity providers, data catalogs, orchestration tools, observability platforms, BI tools, and cloud-native security services. * Experience advising stakeholders on enterprise platform operating models, governance processes, cost controls, and production support practices. ## Description Guidehouse is seeking a Databricks Solution Architect to join our AI & Data team to support client projects involving Databricks solution design, platform administration, data governance, and secure Databricks solution implementation. This role focuses on architecting and administering enterprise Databricks environments across workspaces, Unity Catalog, compute, security, automation, and operational standards. The role requires hands-on Databricks platform experience, strong cloud and data architecture fundamentals, and the ability to collaborate with client stakeholders, security teams, data engineers, and delivery teams to build scalable, governed, and production-ready solutions., * Lead the design and implementation of Databricks solution architectures that support data engineering, analytics, AI/ML, and governed data product delivery. * Administer Databricks workspaces, account-level settings, workspace configurations, users, groups, service principals, permissions, secrets, jobs, and platform objects. * Design and manage Unity Catalog structures, including metastores, catalogs, schemas, external locations, storage credentials, access controls, lineage, and metadata standards. * Define compute, cluster policy, SQL warehouse, job orchestration, runtime, and workload management patterns that balance performance, cost, security, and delivery needs. * Translate business, technical, security, and governance requirements into Databricks-native architecture patterns, implementation plans, technical architecture and design documentation, and platform standards. * Partner with cloud, cybersecurity, identity management, networking, and DevOps teams to support secure platform integration across Azure, AWS, or GCP environments. * Develop reusable architecture guidance, reference implementations, deployment patterns, and operational playbooks for Databricks platform teams and delivery teams. * Troubleshoot platform issues related to permissions, compute performance, job execution, storage access, networking, workspace configuration, and production operations. * Advise clients on platform governance, cost management, auditability, release management, environment strategy, and separation of duties for enterprise Databricks adoption. * Support delivery teams through technical leadership, architecture reviews, code and configuration reviews, documentation, and stakeholder communication. ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [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) - [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) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [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) - [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) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)