Databricks Solution Architect, Utilities

Job summary

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: None Gui*** 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.

Benefits

Qualifications

• Travel Required:
• Clearance Required:
• 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, separation of
• and operational terminology, and translate that context into practical platform and solution architecture
• 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.

Responsibilities

• 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
• regulatory traceability, and data-quality controls 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 from an accredited college/university.
• 7+ years of relevant experience in data architecture, cloud data platforms, data engineering, platform engineering, or technical solution delivery.
• Ability to quickly develop fluency in utility business processes, data models, source systems, regulatory

Skills

Certifications

Degrees

Travel

Industry

Company size

Security clearance