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, 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.
What Would Be Nice to Have
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.
The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
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