Databricks Solution Architect

Guidehouse

Databricks Solution Architect leading the design and implementation of Databricks solutions for diverse data projects. Collaborating with teams to ensure scalable and governed data product delivery.

Posted 7/28/2026full-timeRemote • Colorado, District of Columbia, Illinois, Massachusetts, New York, Texas, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $216,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing Databricks solutions, including architecture patterns, governance, and operational documentation. Proficient in SQL, Python, and Spark for data engineering and platform operations across cloud environments like Azure, AWS, or GCP.

Highest-signal resume keywords

Databricks Solution ArchitectureSQL DevelopmentPython ProgrammingUnity Catalog ManagementCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Databricks AdministrationData EngineeringPlatform EngineeringTechnical Solution DeliveryJob OrchestrationCompute Performance ManagementData GovernanceCI/CD PracticesInfrastructure AutomationMonitoring

Soft Skills

Technical LeadershipStakeholder CommunicationConsulting SkillsTradeoff EvaluationCollaboration

Tools & Technologies

DatabricksAzureAWSGCPSQL WarehousesNotebooksRepos

Industry Keywords

Data ArchitectureCloud Data PlatformsGoverned Data DeliveryCost ManagementAuditability

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityGoogle Cloud PlatformPythonSparkSQLUnity

About the role

Key responsibilities & impact

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.

Requirements

What you’ll 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.

Benefits

Comp & perks

competitive compensation
flexible benefits package