VP, Data Ingestion & Integration - Azure Data Platform

Ares Management; New York (NY); On-site; USD 210,000 - 230,000; Full time

Benefits offered by this job

Comprehensive Medical/Rx

Dental and Vision insurance

401(k) with company match

HSA with company contributions

Life Insurance

Job summary

Ares Management is seeking a Vice President of Data Ingestion & Integration to design, build, and scale the firm’s data ecosystem. You will own the strategy, govern data movement, and lead cross-functional teams across architecture, product, and engineering to enable analytics, reporting, and AI capabilities globally.

The role requires deep technical expertise, ownership of platform components, and strong collaboration with stakeholders to advance the data strategy and modernization efforts.

Qualifications

• 12+ years designing and implementing enterprise-scale data ingestion platforms.
• Experience with governance, security, and operational controls for data platforms.
• Proven leadership of large technical teams and collaboration with stakeholders.

Responsibilities

• Define and own the enterprise Data Ingestion & Integration strategy and multi-year roadmap.
• Establish governance and best practices for data movement and integration.
• Lead engineering teams for ingestion, integration, and data connectivity services.
• Drive modern, event-driven, API-first, cloud-native integration patterns.
• Partner with product teams to prioritize data initiatives aligned to growth.

Skills

Data engineering

Cloud architectures

Stakeholder engagement

Leadership

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure Data Factory

Azure Databricks

Delta Lake

Unity Catalog

Azure Data Lake Storage

Databricks

Apache Spark

Python

SQL

Kafka / Confluent / Event Hubs

Job description

Ares Management is seeking a Vice President of Data Ingestion & Integration to design, build, and scale the firm’s data ecosystem. You will own the strategy, govern data movement, and lead cross-functional teams across architecture, product, and engineering to enable analytics, reporting, and AI capabilities globally.

The role requires deep technical expertise, ownership of platform components, and strong collaboration with stakeholders to advance the data strategy and modernization efforts.