VP, Data Platforms & Data Products Leader

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

Benefits offered by this job

Robust benefits package

401(k) with company match

Commuter benefits

Job summary

Ares Management is seeking a Vice President of Data Engineering & Data Products to lead the enterprise data engineering organization and oversee scalable data pipelines and curated data products on the Databricks Lakehouse platform.

The role partners with Data Governance, Master Data Management, Enterprise Architecture, and business domains to deliver trusted enterprise data products and drive product-centric data management across the firm.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 15+ years of experience in Data Engineering, Data Warehousing, Analytics Engineering, or Data Platform Engineering.
• 8+ years of leadership experience managing large engineering organizations.
• Deep experience designing and delivering business-facing data products.
• Strong experience within financial services or regulated industries preferred.

Responsibilities

• Define and execute the enterprise Data Engineering and Data Products strategy.
• Build and lead high-performing teams of data engineers and data product developers.
• Own enterprise ETL/ELT standards and transformation frameworks.
• Design scalable pipelines transforming raw data into business-ready datasets.
• Partner with stakeholders across Investment Operations, Finance, Compliance, and Risk.

Skills

Databricks

Apache Spark

Python

SQL

Delta Lake

Databricks Lakehouse

Data governance

Observability

Education

Bachelor's degree in CS/Engineering/IS

Tools

Azure Data Lake Storage

Unity Catalog

Job description

Ares Management is seeking a Vice President of Data Engineering & Data Products to lead the enterprise data engineering organization and oversee scalable data pipelines and curated data products on the Databricks Lakehouse platform.

The role partners with Data Governance, Master Data Management, Enterprise Architecture, and business domains to deliver trusted enterprise data products and drive product-centric data management across the firm.