Databricks Platform Engineer

Job not on LinkedIn

🔥 5 hours ago

🇺🇸 United States – Remote

💵 $115k - $135k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

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Salas O'Brien

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏗️ Construction

🏥 Healthcare

Consulting • Construction • Healthcare

Salas O'Brien is a multidisciplinary engineering and design firm delivering MEP, structural, civil, energy and resiliency, process engineering, digital automation, and sustainability and forensic consulting for buildings, industrial facilities, and infrastructure. The firm specializes in advanced energy and renewables, decarbonization strategy, microgrids, energy optimization, and integrated facility design and commissioning, serving institutional, healthcare, education, data center, aerospace, and manufacturing clients. Salas O'Brien focuses on sustainable, resilient solutions and technical project delivery for other organizations and public-sector partners.

📋 Description

• Administer the Databricks platform across multiple environments, including workspaces, Unity Catalog, cluster policies, budget policies, and platform guardrails • Manage identity and access using Microsoft Entra ID single sign-on, account-level SCIM group provisioning, service principals, and scalable access-control models • Partner with IT Infrastructure and Security to manage networking and security, including customer-managed virtual private clouds, private connectivity, encryption, egress controls, audit logs, and system tables connected to enterprise monitoring tools • Manage infrastructure and workloads through Terraform, Databricks Asset Bundles, and CI/CD practices • Establish and maintain cost-governance practices, including tagging standards, business-unit showback, budget controls, and spending-reduction recommendations • Advise data scientists, data engineers, analysts, and business stakeholders on platform architecture and solution design • Provide practical recommendations balancing organizational standards with business needs • Evaluate emerging Databricks platform capabilities and determine adoption strategies • Monitor platform releases and assess serverless computing, Unity Catalog, Lakeflow, and other emerging features • Translate new capabilities into practical, supportable recommendations • Shape the platform’s scalability, security, governance, and performance through architectural decisions

🎯 Requirements

• Several years of hands-on experience administering and architecting Databricks environments in production • Deep, current, production-level Databricks administration experience on AWS, or significant Azure Databricks experience with a credible path to supporting AWS • Experience designing and managing Unity Catalog in a multi-workspace environment • Demonstrated experience developing catalog structures and access-control models for a growing organization • Experience integrating Databricks with Microsoft Entra ID, including single sign-on and SCIM provisioning • Strong Terraform and CI/CD experience for infrastructure and platform management • Working knowledge of cloud networking concepts, including virtual private clouds, private connectivity, encryption, egress controls, and security-review processes • Ability to partner with IT Infrastructure and Security teams, communicate platform needs, follow enterprise standards, and advocate for architecture improvements • Sound judgment regarding platform defaults and organizational requirements • Strong written and verbal communication skills • Experience supporting government, military, or controlled-data environments, including Controlled Unclassified Information and Cybersecurity Maturity Model Certification requirements (preferred) • Experience with enclave separation, controlled environments, and regulated-data operations (preferred) • Databricks certifications, such as Databricks Certified Data Engineer Professional or Databricks platform administration credentials (nice to have) • Experience with Databricks Asset Bundles (nice to have) • Experience in a federated, decentralized, or multi-entity organization (nice to have) • Experience with MLflow, machine learning operations, model serving, and related Databricks capabilities (nice to have) • Travel of up to 20% may be required

🏖️ Benefits

• Performance-based bonuses • Equity participation • Medical insurance • Dental insurance • Vision insurance • 401(k) with company match • Paid time off • Company holidays • Wellness programs • Employee-assistance resources • Professional development support