VP, Enterprise Data Ingestion & Integration

0200 Ares Operations LLC; New York (NY); On-site; USD 210,000 - 230,000; Full time

Benefits offered by this job

Medical benefits

Dental & Vision

401(k) with match

HSA contribution

Life insurance

Disability insurance

Employee Assistance Program (EAP)

Commuter benefits

Parental leave

Adoption assistance

Job summary

Ares Management LLC seeks a Vice President of Data Ingestion & Integration to design, build, and scale the firm’s data ecosystem. You will own the enterprise ingestion strategy, drive modern integration patterns, and lead cross-functional teams across architecture, product, and operations.

The role focuses on Azure-based pipelines, observability, governance, and scalable data delivery to enable analytics, reporting, and AI initiatives globally.

Qualifications

• 12+ years of enterprise data engineering, integration, or platform engineering experience.
• Experience building metadata-driven, reusable ingestion frameworks at scale.
• Strong hands-on with Databricks, Spark, Python, SQL, Delta Lake, and data quality controls.

Responsibilities

• Define and own the enterprise Data Ingestion & Integration strategy and multi-year roadmaps.
• Establish standards for data movement, governance, and security across the organization.
• Build and lead engineering teams for ingestion, integration, and data connectivity services.
• Drive modern, event-driven, API-first, cloud-native integration patterns.

Skills

Azure Data Factory

Azure Databricks

Delta Lake

Python

SQL

Databricks

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Job description

Ares Management LLC seeks a Vice President of Data Ingestion & Integration to design, build, and scale the firm’s data ecosystem. You will own the enterprise ingestion strategy, drive modern integration patterns, and lead cross-functional teams across architecture, product, and operations.

The role focuses on Azure-based pipelines, observability, governance, and scalable data delivery to enable analytics, reporting, and AI initiatives globally.