Pay
In line with similar jobs
$210K–$230K against $154K–$226K, the middle half of what similar US postings state.
From 3,103 postings in the last year. Stated ranges, not salaries paid.
Reads like a Data Leadership role: running a data team.
New York, NY
Actively hiring, first seen by us 3 days agoThe anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role. $210,000 - $230,000 The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more.Read the full posting
Define the multi-year data platform engineering strategy and roadmap
Build and lead teams for cloud infrastructure, DevOps, SRE, and platform operations
Manage platform budgets, cloud spend, and vendor relationships
Establish disaster recovery, backup, and failover strategies
Drive migration from legacy data warehouses and on-premises platforms to Azure
Define and execute the enterprise Data Platform Engineering strategy and multi-year roadmap.
Build and lead high-performing teams responsible for cloud infrastructure, platform services, DevOps, SRE, and platform operations.
Manage platform budgets, cloud spend, vendor relationships, and strategic technology investments.
Establish disaster recovery and business continuity capabilities.
Drive modernization initiatives, including migration from legacy data warehouses and on-premises platforms to Azure.
15+ years of experience in cloud engineering, platform engineering, infrastructure engineering, or data platform architecture.
8+ years of leadership experience managing enterprise engineering organizations.
Experience leading cloud transformation and platform modernization initiatives.
Qualifications Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field Experience Required:
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$210K–$230K against $154K–$226K, the middle half of what similar US postings state.
From 3,103 postings in the last year. Stated ranges, not salaries paid.
Day 3
Early. Similar jobs usually come down between day 8 and day 57.
At Ares Management, jobs usually come down by about day 50.
From 9,519 similar postings that came down, and 32 of Ares Management’s. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
· Deep expertise architecting Azure cloud infrastructure including Azure Landing Zones, ExpressRoute, Azure DNS, Network Security Groups (NSG), Key Vault, Managed Identities, Azure Kubernetes Service (AKS), Azure Storage, and disaster recovery architectures. · Strong hands-on experience administering and optimizing Databricks Workspaces, Unity Catalog, Delta Lake, Cluster Policies, SQL Warehouses, Databricks Workflows, Serverless Compute, ML Workspaces, and workspace governance frameworks. · Proven experience driving platform automation through Terraform, Infrastructure as Code (IaC), GitHub Actions, Azure DevOps, CI/CD pipelines, automated testing frameworks, release management processes, and environment promotion strategies.
Job Description Ares Management is seeking a Vice President, Data Platform Engineering is responsible for the strategy, architecture, engineering, operations, and continuous evolution of the enterprise data platform ecosystem. This executive owns the Azure and Databricks foundation that powers data ingestion, transformation, analytics, AI/ML, and data product delivery across the organization. The role is accountable for building and operating a secure, scalable, resilient, and high-performing cloud data platform, including Azure infrastructure, Databricks workspaces, networking, security, environment management, platform operations, DevOps, FinOps, observability, and reliability engineering. The VP will establish platform engineering capabilities that enable self-service, accelerate delivery, improve developer productivity, and ensure enterprise-grade governance and operational excellence.
Ares Management is seeking a Vice President, Data Platform Engineering is responsible for the strategy, architecture, engineering, operations, and continuous evolution of the enterprise data platform ecosystem. This executive owns the Azure and Databricks foundation that powers data ingestion, transformation, analytics, AI/ML, and data product delivery across the organization. The role is accountable for building and operating a secure, scalable, resilient, and high-performing cloud data platform, including Azure infrastructure, Databricks workspaces, networking, security, environment management, platform operations, DevOps, FinOps, observability, and reliability engineering. The VP will establish platform engineering capabilities that enable self-service, accelerate delivery, improve developer productivity, and ensure enterprise-grade governance and operational excellence. This leader partners closely with Data Engineering, Data Ingestion & Integration, Data Distribution Services, AI/ML Engineering, Cybersecurity, Infrastructure, Architecture, and Governance teams to provide a world-class data platform supporting enterprise growth and innovation.
· Partner with Infrastructure, security, and application teams to align data capabilities with business priorities. · Drive modernization initiatives, including migration from legacy data warehouses and on-premises platforms to Azure. Azure & Databricks Platform Ownership
· Drive modernization initiatives, including migration from legacy data warehouses and on-premises platforms to Azure. Azure & Databricks Platform Ownership · Define and execute the enterprise Data Platform Engineering strategy and multi-year roadmap.
Experience Required: · Extensive experience designing, implementing, and operating enterprise-scale Azure and Databricks Lakehouse platforms, supporting analytics, data engineering, AI/ML, real-time processing, and data product workloads. · Deep expertise architecting Azure cloud infrastructure including Azure Landing Zones, ExpressRoute, Azure DNS, Network Security Groups (NSG), Key Vault, Managed Identities, Azure Kubernetes Service (AKS), Azure Storage, and disaster recovery architectures.
· Extensive experience designing, implementing, and operating enterprise-scale Azure and Databricks Lakehouse platforms, supporting analytics, data engineering, AI/ML, real-time processing, and data product workloads. · Deep expertise architecting Azure cloud infrastructure including Azure Landing Zones, ExpressRoute, Azure DNS, Network Security Groups (NSG), Key Vault, Managed Identities, Azure Kubernetes Service (AKS), Azure Storage, and disaster recovery architectures. · Strong hands-on experience administering and optimizing Databricks Workspaces, Unity Catalog, Delta Lake, Cluster Policies, SQL Warehouses, Databricks Workflows, Serverless Compute, ML Workspaces, and workspace governance frameworks.
· Strong hands-on experience administering and optimizing Databricks Workspaces, Unity Catalog, Delta Lake, Cluster Policies, SQL Warehouses, Databricks Workflows, Serverless Compute, ML Workspaces, and workspace governance frameworks. · Proven experience driving platform automation through Terraform, Infrastructure as Code (IaC), GitHub Actions, Azure DevOps, CI/CD pipelines, automated testing frameworks, release management processes, and environment promotion strategies. · Deep expertise implementing platform observability utilizing Azure Monitor, Log Analytics, Application Insights, Azure Workbooks, Microsoft Sentinel, Databricks Lakehouse Monitoring, Databricks System Tables, Audit Logs, Cluster Metrics, Query History, and operational telemetry solutions.
· Proven experience driving platform automation through Terraform, Infrastructure as Code (IaC), GitHub Actions, Azure DevOps, CI/CD pipelines, automated testing frameworks, release management processes, and environment promotion strategies. · Deep expertise implementing platform observability utilizing Azure Monitor, Log Analytics, Application Insights, Azure Workbooks, Microsoft Sentinel, Databricks Lakehouse Monitoring, Databricks System Tables, Audit Logs, Cluster Metrics, Query History, and operational telemetry solutions. · Strong experience with platform security and governance including Microsoft Entra ID (Azure AD), RBAC, Unity Catalog security models, Privileged Identity Management (PIM), encryption, secrets management, compliance monitoring, vulnerability management, and enterprise security controls.
· Deep expertise implementing platform observability utilizing Azure Monitor, Log Analytics, Application Insights, Azure Workbooks, Microsoft Sentinel, Databricks Lakehouse Monitoring, Databricks System Tables, Audit Logs, Cluster Metrics, Query History, and operational telemetry solutions. · Strong experience with platform security and governance including Microsoft Entra ID (Azure AD), RBAC, Unity Catalog security models, Privileged Identity Management (PIM), encryption, secrets management, compliance monitoring, vulnerability management, and enterprise security controls. · Proven success improving platform scalability, reliability, performance, and cost efficiency through Site Reliability Engineering (SRE), FinOps, workload optimization, capacity planning, automated remediation, performance tuning, resilience engineering, and operational excellence practices.
- 8+ years of leadership experience managing enterprise engineering organizations. - Proven success designing and operating large-scale Azure and Databricks platforms. - Strong background in DevOps, Infrastructure Engineering, Cloud Architecture, and Site Reliability Engineering.
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job Description
Ares Management is seeking a Vice President, Data Platform Engineering is responsible for the strategy, architecture, engineering, operations, and continuous evolution of the enterprise data platform ecosystem. This executive owns the Azure and Databricks foundation that powers data ingestion, transformation, analytics, AI/ML, and data product delivery across the organization.
The role is accountable for building and operating a secure, scalable, resilient, and high-performing cloud data platform, including Azure infrastructure, Databricks workspaces, networking, security, environment management, platform operations, DevOps, FinOps, observability, and reliability engineering. The VP will establish platform engineering capabilities that enable self-service, accelerate delivery, improve developer productivity, and ensure enterprise-grade governance and operational excellence.
This leader partners closely with Data Engineering, Data Ingestion & Integration, Data Distribution Services, AI/ML Engineering, Cybersecurity, Infrastructure, Architecture, and Governance teams to provide a world-class data platform supporting enterprise growth and innovation.
Reporting relationships
Reports to: Principal, Head of Data Platforms
Supervises: n/a
Enterprise Data Platform Engineering
· Define and execute the enterprise Data Platform Engineering strategy and multi-year roadmap.
· Establish platform engineering standards, operating models, and governance frameworks.
· Build and lead high-performing teams responsible for cloud infrastructure, platform services, DevOps, SRE, and platform operations.
· Drive platform modernization, automation, and self-service enablement initiatives.
· Partner with executive leadership to align platform capabilities with business and technology objectives.
· Establish KPIs, SLAs, SLOs, and operational excellence metrics.
· Manage platform budgets, cloud spend, vendor relationships, and strategic technology investments. Serve as the platform owner for cloud data platform architecture, engineering standards, and technology roadmap.
· Partner with Infrastructure, security, and application teams to align data capabilities with business priorities.
· Drive modernization initiatives, including migration from legacy data warehouses and on-premises platforms to Azure.
Azure & Databricks Platform Ownership
· Define and execute the enterprise Data Platform Engineering strategy and multi-year roadmap.
· Establish platform engineering standards, operating models, and governance frameworks.
· Build and lead high-performing teams responsible for cloud infrastructure, platform services, DevOps, SRE, and platform operations.
· Drive platform modernization, automation, and self-service enablement initiatives.
· Partner with executive leadership to align platform capabilities with business and technology objectives.
· Establish KPIs, SLAs, SLOs, and operational excellence metrics.
· Manage platform budgets, cloud spend, vendor relationships, and strategic technology investments.
· Drive ongoing infrastructure optimization and capacity management
· Lead platform reliability and scalability improvements.
· Implement cost optimization and FinOps disciplines to maximize cloud efficiency.
Business & Stakeholder Engagement
· Partner directly with stakeholders across Investment Operations, Finance, Compliance, Investor Relations, Risk, and Investment teams.
· Translate complex business requirements into scalable technical solutions.
· Drive successful delivery of strategic data initiatives and enhancements.
Site Reliability Engineering (SRE) & Operations
· Build and lead platform SRE capabilities.
· Define operational excellence standards and platform reliability targets.
· Implement incident management, problem management, and root-cause analysis processes.
· Establish disaster recovery and business continuity capabilities.
· Define backup, failover, and recovery strategies.
· Improve availability, resiliency, and operational maturity across the platform landscape.
Data Governance & Quality
· Implement and support data quality controls, lineage, metadata, and governance capabilities.
· Contribute to data security, privacy, and compliance requirements.
· Establish technical standards and engineering best practices.
Leadership & Collaboration
· Lead technical workstreams and complex engineering initiatives.
· Mentor junior team members and provide technical guidance.
· Participate in architecture discussions and technology evaluations.
· Collaborate with leadership on platform roadmap and prioritization efforts.
Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
Experience Required:
· Extensive experience designing, implementing, and operating enterprise-scale Azure and Databricks Lakehouse platforms, supporting analytics, data engineering, AI/ML, real-time processing, and data product workloads.
· Deep expertise architecting Azure cloud infrastructure including Azure Landing Zones, ExpressRoute, Azure DNS, Network Security Groups (NSG), Key Vault, Managed Identities, Azure Kubernetes Service (AKS), Azure Storage, and disaster recovery architectures.
· Strong hands-on experience administering and optimizing Databricks Workspaces, Unity Catalog, Delta Lake, Cluster Policies, SQL Warehouses, Databricks Workflows, Serverless Compute, ML Workspaces, and workspace governance frameworks.
· Proven experience driving platform automation through Terraform, Infrastructure as Code (IaC), GitHub Actions, Azure DevOps, CI/CD pipelines, automated testing frameworks, release management processes, and environment promotion strategies.
· Deep expertise implementing platform observability utilizing Azure Monitor, Log Analytics, Application Insights, Azure Workbooks, Microsoft Sentinel, Databricks Lakehouse Monitoring, Databricks System Tables, Audit Logs, Cluster Metrics, Query History, and operational telemetry solutions.
· Strong experience with platform security and governance including Microsoft Entra ID (Azure AD), RBAC, Unity Catalog security models, Privileged Identity Management (PIM), encryption, secrets management, compliance monitoring, vulnerability management, and enterprise security controls.
· Proven success improving platform scalability, reliability, performance, and cost efficiency through Site Reliability Engineering (SRE), FinOps, workload optimization, capacity planning, automated remediation, performance tuning, resilience engineering, and operational excellence practices.
General Requirements:
Reporting Relationships
Managing Director, Head of Data Engineering & AI PlatformsCompensation
The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role.
$210,000 - $230,000
The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.
Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more.
There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role. $210,000 - $230,000 The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.
New York, NY
Working pattern and location restrictions need checking in the full posting.
The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit. Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more. There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.