Databricks Solution Architect Utilities

Salary: $162,000 - 270,000 per year Requirements:

• We require a bachelors degree from an accredited college or university.
• We seek 7+ years of relevant experience in data architecture, cloud data platforms, data engineering, platform engineering, or technical solution delivery.
• We need 3+ years of hands-on Databricks experience designing, implementing, or administering Databricks environments, including workspaces, jobs, clusters, SQL warehouses, notebooks, repos, and platform configurations.
• We expect the ability to quickly build fluency in utility business processes, data models, source systems, regulatory requirements, and operational terminology, and translate that knowledge into practical platform and solution architecture.
• We require strong experience with SQL, Python, and Spark-based development for data engineering, automation, and platform operations.
• We need strong experience with Unity Catalog, including access controls, catalogs, schemas, external locations, storage credentials, lineage, and governed data organization.
• We require experience with cloud platforms such as Azure, AWS, or GCP, including identity, networking, storage, security, and deployment considerations for cloud-native data platforms.
• We need experience developing architecture artifacts, technical designs, platform standards, implementation roadmaps, and operational documentation for both technical and non-technical audiences.
• We expect the ability to lead technical discussions with clients, assess tradeoffs, communicate architecture decisions, and work effectively in consulting or project-based delivery environments.
• We require familiarity with data governance, DevOps, CI/CD, infrastructure automation, monitoring, cost management, and secure software delivery practices.
• We require onsite presence in New York at least one day every other week.

• We 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 platforms, APIs, and external reporting platforms.
• We lead the design and implementation of Databricks solution architectures that support data engineering, analytics, AI/ML, and governed data product delivery.
• We administer Databricks workspaces, account-level settings, workspace configurations, users, groups, service principals, permissions, secrets, jobs, and platform objects.
• We design and manage Unity Catalog structures, including metastores, catalogs, schemas, external locations, storage credentials, access controls, lineage, and metadata standards.
• We define compute, cluster policy, SQL warehouse, job orchestration, runtime, and workload management patterns that balance performance, cost, security, and delivery needs.
• We translate business, technical, security, and governance requirements into Databricks-native architecture patterns, implementation plans, technical architecture and design documentation, and platform standards.
• We partner with cloud, cybersecurity, identity management, networking, and DevOps teams to support secure platform integration across Azure, AWS, or GCP environments.
• We develop reusable architecture guidance, reference implementations, deployment patterns, and operational playbooks for Databricks platform teams and delivery teams.
• We troubleshoot platform issues related to permissions, compute performance, job execution, storage access, networking, workspace configuration, and production operations.
• We advise clients on platform governance, cost management, auditability, release management, environment strategy, separation of duties, regulatory traceability, and data-quality controls for enterprise Databricks adoption.
• We support delivery teams through technical leadership, architecture reviews, code and configuration reviews, documentation, and stakeholder communication.

• AI
• AWS
• Azure
• CI/CD
• Cloud
• Databricks
• DevOps
• GCP
• Support
• Python
• SQL
• Security
• Spark
• Unity
• GameDev
• API
• Architect
• Git
• Machine Learning
• MLflow
• React
• Terraform

More:

We are Guidehouse, an Equal Opportunity Employer supporting protected veterans, individuals with disabilities, and other groups protected by law. We offer a comprehensive total rewards package with competitive compensation and flexible benefits, including medical, Rx, dental and vision insurance, paid sick time and company holidays, potential discretionary bonus eligibility, parental leave and adoption assistance, a 401(k) retirement plan, life and disability coverage, health and dependent care spending accounts, student loan paydown, tuition reimbursement, learning and certification opportunities, an employee referral program, community outreach events, emergency back-up childcare, and a mobility stipend. This role sits within our Data Science Consulting family and supports our AI and Data team on client projects in the utility industry, with up to 25% travel and an annual salary range of $162,000 to $270,000.

last updated 36 week of 2026