Databricks Solution Architect

🔥 27 minutes ago

⛰️ Colorado, District of Columbia, +5 more states – Remote

⛰️ Colorado – Remote 🏛️ District of Columbia – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $130k - $216k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Guidehouse

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2018

🏥 Healthcare

🎖️ Defense

📦 Logistics

💰 Grant on 2023-02

Healthcare • Defense • Logistics

Guidehouse is a global consultancy offering advisory, digital, and managed services across commercial and public sectors. It is purpose-built to support industries such as national security, financial services, healthcare, energy, and infrastructure. Guidehouse collaborates with leaders to navigate complexity and drives transformational changes that impact the future. Their expertise spans data analytics, digital technologies, risk management, and more, with a strong emphasis on sustainability and innovation.

📋 Description

• 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

• 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

• competitive compensation • flexible benefits package