Databricks Solution Architect at Guidehouse in Any location

Job description

Job Family : Data Science & Analysis, Data Science Consulting Travel Required : None Clearance Required : None 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. This position offers virtual work flexibility within the United States. While remote candidates will be considered, preference will be given to candidates located near a Guidehouse office in one of the following markets: Arlington, VA; Washington, DC; New York, NY; Chicago, IL; Austin, TX; Atlanta, GA; Boston, MA; and Boulder, CO. Please note, this requisition supports hiring across multiple levels to support our Databricks Data Architect Teams. The posted salary range represents a range of potential compensation and will vary based on the selected candidate’s experience, qualifications, location, and the level at which the position is filled. What You Will Do: 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. What You Will Need: 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, stora