Databricks Architect: Utilities Data & AI Platform

Guidehouse; Trenton (NJ); On-site; USD 162,000 - 270,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Tuition Reimbursement

Parental Leave and Adoption Assistance

Job summary

Guidehouse is seeking a Databricks Solution Architect to join our AI and Data team to design and administer enterprise Databricks environments across Unity Catalog, compute, security, and governance. You will partner with utility stakeholders to build scalable, production-ready platforms supporting data, analytics, and AI/ML initiatives.

You will lead architecture design, implement governance standards, and collaborate with security, data engineering, and delivery teams to ensure compliant,

Qualifications

• 7+ years of experience in data architecture, cloud data platforms, data engineering, platform engineering, or technical solution delivery.
• 3+ years Databricks hands-on experience designing, implementing, or administering Databricks environments (architecting).
• Strong experience with SQL, Python, and Spark-based development for data engineering, automation, and platform operations.
• 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

• Partner with utility business, IT, data, and regulatory stakeholders to design governed data architectures that integrate multiple data domains.
• 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.

Skills

Databricks

SQL

Python

Spark

Data architecture

Governance

Cloud platforms

Stakeholder management

Education

Bachelor's degree in a related field

Tools

Unity Catalog

Terraform

Databricks Asset Bundles

Git-based deployment

Job description

Guidehouse is seeking a Databricks Solution Architect to join our AI and Data team to design and administer enterprise Databricks environments across Unity Catalog, compute, security, and governance. You will partner with utility stakeholders to build scalable, production-ready platforms supporting data, analytics, and AI/ML initiatives.

You will lead architecture design, implement governance standards, and collaborate with security, data engineering, and delivery teams to ensure compliant,