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Director of Engineering – Data Platforms
Vizient, Inc. Define and execute enterprise data platform strategy, architecture, and multi-year roadmaps .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining and executing enterprise data platform strategies, including Azure Databricks and related Azure technologies. Capable of leading engineering teams, establishing governance and compliance controls, and enabling advanced analytics and machine learning capabilities.
Highest-signal resume keywords
Azure Databricks ExpertisePlatform Engineering LeadershipInfrastructure-as-Code ImplementationData Governance and ComplianceAnalytics and Machine Learning Enablement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Enterprise Data Platform StrategyAzure Data TechnologiesCI/CD AutomationData ClassificationPerformance OptimizationCapacity PlanningIncident ManagementService-Level ObjectivesPlatform ModernizationCloud Technology Evaluation
Soft Skills
Team DevelopmentMentoringCollaboration
Tools & Technologies
Microsoft SQL ServerUnity CatalogDelta LakeMLflowFinOps Practices
Industry Keywords
Platform-as-a-ProductData GovernanceOperational ReportingData LineageAccess Management
Tech Stack
Tools & technologiesAzureCloudMS SQL ServerSQLUnity
About the role
Key responsibilities & impact- Define and execute enterprise data platform strategy, architecture, and multi-year roadmaps
- Lead platform engineering and administration teams delivering reliable, secure, scalable, observable, and high-performing enterprise data services
- Drive Azure Databricks platform engineering and optimize architecture, operations, performance, and costs
- Establish Platform-as-a-Product practices, reusable engineering patterns, Infrastructure-as-Code, CI/CD automation, and self-service capabilities
- Lead enterprise data platform modernization and migration to Azure and Lakehouse architectures
- Establish governance, security, data classification, lineage, auditing, access management, and compliance controls
- Enable platform capabilities for analytics, data products, machine learning, AI, and operational reporting
- Establish service-level objectives, monitoring, incident management, capacity planning, and continuous improvement practices
- Manage platform investments, budgets, capacity forecasts, vendor relationships, licensing, and FinOps practices
- Develop and mentor engineering leaders and technical teams
- Evaluate emerging data, AI, and cloud technologies through proofs of concept
- Advance platform standardization and consolidation
- Partner with Data Engineering and Data Science teams to accelerate enterprise data products, machine learning, and AI capabilities
Requirements
What you’ll need- Experience defining and executing enterprise data platform strategy, architecture, and multi-year roadmaps
- Expertise in Azure Databricks, Microsoft SQL Server, and related Azure data technologies
- Experience leading platform engineering and administration teams
- Knowledge of Unity Catalog, Delta Lake, MLflow, access controls, workload management, automation, observability, performance, and cost optimization
- Experience with Platform-as-a-Product practices, reusable engineering patterns, Infrastructure-as-Code, CI/CD automation, and self-service capabilities
- Experience modernizing enterprise data platforms and migrating workloads to Azure and Lakehouse architectures
- Knowledge of platform governance, security, data classification, lineage, auditing, access management, and compliance controls
- Experience enabling analytics, data products, machine learning, AI, and operational reporting platforms
- Experience establishing service-level objectives, operational metrics, monitoring, incident management, capacity planning, and continuous improvement practices
- Experience managing budgets, capacity forecasts, vendor relationships, licensing, and FinOps practices
- Experience developing and mentoring engineering leaders and technical teams
- Ability to evaluate and adopt emerging data, AI, and cloud technologies
- Ability to partner with Data Engineering and Data Science teams
Benefits
Comp & perks- Comprehensive benefits plan
- Incentive eligible
- Opportunities for personal and professional development