Vice President, Data Ingestion & Integration

Ares Management Corporation•New York, NY

17h•$210,000 - $230,000

About The Position

Ares Management is seeking a Vice President, Data Ingestion & Integration to design, build, and scale the firm's enterprise data ecosystem. The role delivers scalable data engineering solutions that support analytics, reporting, operational efficiency, and AI-driven capabilities across Ares' global business. The successful candidate will bring deep technical expertise, take ownership of critical platform components, and collaborate with business stakeholders, architects, and engineering teams to advance the firm's data strategy. The role owns the enterprise Data Ingestion & Integration strategy and multi-year roadmap; establishes standards and best practices; and leads engineering teams responsible for ingestion, integration, and connectivity services. It drives cloud-native, event-driven, and API-first integration, platform modernization to Azure, enterprise observability, and operational reliability. The position also partners with stakeholders across investment and corporate functions, translating business needs into scalable solutions while supporting governance, data quality, security, privacy, and compliance. The position requires a bachelor's degree in a relevant field, 12+ years of enterprise data engineering, integration, or platform engineering experience, and 8+ years of leadership experience managing large technical organizations. The anticipated base salary range is $210,000–$230,000. Total compensation may include a discretionary performance-based bonus. Ares offers medical, prescription, dental, vision, retirement, savings, insurance, disability, commuter, wellbeing, family-support, education, and other benefits.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
12+ years of experience designing and implementing enterprise-scale data ingestion platforms using Azure Data Factory, Azure Databricks, Delta Lake, Unity Catalog, and Azure Data Lake Storage for batch, near-real-time, and streaming workloads.
Deep expertise building metadata-driven, reusable, scalable ingestion frameworks for internal systems, SaaS applications, third-party providers, market data feeds, and external data providers, with enterprise governance, security, and operational controls.
Strong hands-on experience with Databricks, Apache Spark, Python, SQL, Delta Lake, Delta Live Tables (DLT), and Databricks Workflows for high-performance integration and transformation, including data quality and pipeline reliability controls.
Experience implementing event-driven and real-time integration architectures using Apache Kafka, Confluent Platform, Azure Event Hubs, Azure Service Bus, Change Data Capture (CDC), and Databricks Structured Streaming.
Experience implementing enterprise observability, telemetry, monitoring, alerting, and audit capabilities using Azure Monitor, Log Analytics, Application Insights, Azure Data Factory Monitoring, Databricks Lakehouse Monitoring, Databricks System Tables, Databricks Job Monitoring, Azure Workbooks, and Microsoft Sentinel.
Expertise establishing end-to-end lineage, reconciliation, and audit frameworks using Unity Catalog Lineage, Delta Lake transaction logs, data quality scorecards, reconciliation controls, exception management, and automated operational dashboards.
12+ years of experience in enterprise data engineering, integration, or platform engineering.
8+ years of leadership experience managing large technical organizations.
Proven experience building enterprise-scale data ingestion and integration platforms.
Extensive experience leading cloud transformation initiatives.
Demonstrated success building and retaining high-performing engineering teams.

Nice To Haves

Experience operating in a highly regulated industry, such as financial services, banking, insurance, healthcare, or asset management.

Responsibilities

Define and own the enterprise Data Ingestion & Integration strategy and multi-year roadmap.
Establish enterprise standards, governance, and best practices for data movement and integration.
Build and lead high-performing engineering teams responsible for ingestion, integration, and data connectivity services.
Drive adoption of modern, event-driven, API-first, and cloud-native integration patterns.
Partner with product teams to prioritize strategic data initiatives aligned with business growth objectives.
Develop operational KPIs and SLAs for data delivery, platform reliability, scalability, and quality.
Lead modernization efforts, including migration from legacy data warehouses and on-premises platforms to Azure.
Architect and oversee enterprise-scale ingestion for structured and unstructured data from internal systems, third-party providers, market feeds, alternative data sources, and partner ecosystems.
Develop scalable data onboarding processes and reusable ingestion accelerators, metadata-driven pipelines, and self-service onboarding capabilities.
Establish standards for batch, micro-batch, and streaming ingestion architectures.
Ensure observability, lineage, monitoring, reconciliation, and operational supportability across ingestion solutions.
Establish enterprise observability standards and implement monitoring, alerting, telemetry, and operational dashboards.
Develop proactive incident detection and automated remediation capabilities, and provide centralized visibility into pipeline health, data freshness, throughput, latency, and service availability.
Partner with stakeholders across Investment Operations, Finance, Compliance, Investor Relations, Risk, and Investment teams.
Translate business requirements into scalable technical solutions and drive delivery of strategic data initiatives and enhancements.
Implement and support data quality controls, lineage, metadata, governance, security, privacy, and compliance capabilities.
Establish technical standards and engineering best practices.
Lead technical workstreams and complex engineering initiatives; mentor junior team members and provide technical guidance.
Participate in architecture discussions and technology evaluations, and collaborate with leadership on platform roadmap and prioritization.