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Guidehouse is seeking a Databricks Solution Architect to join our AI and Data team to support client projects in the utility industry 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 architect will support data modernization initiatives for regulated utilities, including solutions that integrate customer, account, premise, property, meter, and energy-use data across utility and enterprise platforms. 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.
What You Will Do:
- Partner with utility business, IT, data, and regulatory stakeholders to design governed data architectures that integrate customer, account, premise, service-address, meter, property, and energy-usage data across operational systems, enterprise data platforms, APIs, and external reporting platforms.
- 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.