Principal Engineer – Databricks Data Engineer

Nagarro

. Audit the current Databricks workspace state, including environments, clusters, Unity Catalog setup, access controls, and cost configuration .

Posted 10/27/2026full-timeRemote • MexicoLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Databricks and Unity Catalog implementation, focusing on data governance, automation solutions, and operational excellence. Proficient in establishing data quality frameworks and monitoring systems to ensure compliance and scalability.

Highest-signal resume keywords

Azure Data FactoryDatabricksUnity CatalogData GovernanceAutomation Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Platform ImplementationCluster Lifecycle ManagementCost OptimizationData Quality FrameworksInfrastructure as CodeObservability DashboardsRBAC PoliciesOperational DocumentationUser Access ProcessesKnowledge Transfer

Soft Skills

TrainingMentoringCollaboration

Tools & Technologies

Google Workspace

Industry Keywords

Data Governance InitiativesCost AlertingPlatform Health MonitoringData Asset LineageOperational Standards

Tech Stack

Tools & technologies

AzureUnity

About the role

Key responsibilities & impact

Audit the current Databricks workspace state, including environments, clusters, Unity Catalog setup, access controls, and cost configuration
Implement and harden Unity Catalog, including namespace structure, access controls, cluster policies, and environment separation
Define workspace standards, naming conventions, access request workflows, and user/team onboarding processes
Establish data quality frameworks, including SLAs, certification criteria, and data ownership models
Build automation templates for cluster lifecycle management, cost alerting, and utilization monitoring
Create observability dashboards covering platform health, cost, job success rates, and data quality SLA KPIs
Monitor core data asset lineage across workspaces
Create operational runbooks for recurring tasks executable by junior or mid-level engineers
Conduct knowledge-transfer sessions with platform engineering teams
Provide final documentation covering architecture decisions, operational standards, open items, and recommendations
Evaluate and optimize Databricks environments, workspaces, clusters, catalogs, permissions, and security configurations
Define and implement governance standards for secure, scalable, and compliant platform operations
Lead Unity Catalog adoption and design data structures, access models, and environment segregation strategies
Establish RBAC policies, workspace standards, naming conventions, and user access processes
Drive data governance initiatives involving data quality frameworks, ownership models, SLAs, lineage, and stewardship
Develop automation solutions and Infrastructure as Code frameworks
Implement cost optimization, monitoring, and operational excellence practices
Design observability and performance dashboards tracking platform health, utilization, job success rates, and data quality KPIs
Create operational documentation, runbooks, and support procedures
Partner with security, compliance, infrastructure, and data engineering teams
Provide training, mentoring, and knowledge-transfer sessions
Recommend platform improvements and long-term strategies for governance, scalability, and organizational maturity

Requirements

What you’ll need

Must have skills: Azure Data Factory, Databricks, Unity Catalog
Good to have skills: Data platform implementation, Google Workspace Administration

Benefits

Comp & perks

Remote work
Full-time employment