Databricks Solution Architect

🕒 July 28

🇺🇸 United States – Remote

💵 $130k - $216k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 42%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 for data engineering, analytics, AI/ML, and governed data products • Administer Databricks workspaces, account-level settings, configurations, users, groups, service principals, permissions, secrets, jobs, and platform objects • Design and manage Unity Catalog structures, access controls, lineage, and metadata standards • Define compute, cluster policy, SQL warehouse, job orchestration, runtime, and workload management patterns • Translate business, technical, security, and governance requirements into Databricks architecture patterns, implementation plans, design documentation, and platform standards • Partner with cloud, cybersecurity, identity management, networking, and DevOps teams across Azure, AWS, or GCP environments • Develop reusable architecture guidance, reference implementations, deployment patterns, and operational playbooks • Troubleshoot permissions, compute performance, job execution, storage access, networking, workspace configuration, and production operations • Advise clients on governance, cost management, auditability, release management, environment strategy, and separation of duties • 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 • Strong experience with Unity Catalog, including access controls, catalogs, schemas, external locations, storage credentials, lineage, and governed data organization • Experience with Azure, AWS, or GCP, including identity, networking, storage, security, and deployment considerations • Experience developing architecture artifacts, technical designs, platform standards, implementation roadmaps, and operational documentation • 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 • Active Databricks certification is nice to have • Experience with advanced AI/ML and application capabilities within Databricks is nice to have • Experience developing Databricks Apps or similar data-driven applications is nice to have • Experience supporting regulated or security-sensitive environments is nice to have • Experience with Terraform, Databricks Asset Bundles, Git-based deployment patterns, automated testing, release management, or CI/CD pipelines is nice to have • Experience integrating Databricks with enterprise identity providers, data catalogs, orchestration tools, observability platforms, BI tools, and cloud-native security services is nice to have • Experience advising stakeholders on enterprise platform operating models, governance processes, cost controls, and production support practices is nice to have

🏖️ Benefits

• Comprehensive total rewards package • Competitive compensation • Flexible benefits package • Flexible work arrangement within the United States • Equal Opportunity Employer workplace commitments