Vice President, Data Engineering

Ares Management

New York, NY, United States
Base: $240,000-$270,000; bonus/equity: discretiona...
Databricks and delta lake expertise
Spark sql and python etl pipelines
Azure cloud services integration
Ares Management is committed to fostering a welcoming and inclusive work environment where diverse high-performance talent can build careers within the financial services industry

Job Summary

  • Ares Management is committed to fostering a welcoming and inclusive work environment where diverse high-performance talent can build careers within the financial services industry.
  • The VP Data Engineer will architect scalable ETL/ELT patterns, establish best practices for Databricks/Spark/Delta Lake development, and design systems handling structured and unstructured data at scale.
  • The firm offers a competitive base salary range of $240,000 to $270,000, a discretionary performance-based bonus, and a robust benefits package including comprehensive medical plans, 401(k) with company match, and various wellness programs.

Matching Summary

Ares Management is committed to fostering a welcoming and inclusive work environment where diverse high-performance talent can build careers within the financial services industry.

Salary

Base: $240,000-$270,000; Bonus/Equity: Discretionary performance-based bonus; Benefits: Comprehensive medical, 401(k) match, wellness programs

Skills & Requirements

Must-have

  • Databricks and Delta Lake expertise
  • Spark SQL and Python ETL pipelines
  • Azure cloud services integration
  • Document and unstructured data processing
  • Data quality and governance frameworks
  • Mentorship and team leadership
  • Performance tuning and optimization

Nice-to-have

  • Experience with Databricks Unity Catalog
  • Familiarity with Azure AI Services
  • NLP libraries and text preprocessing
  • Financial services or PE environment experience
  • dbt transformation orchestration
  • Greenfield project experience
  • Strong problem-solving skills

Key Requirements

  • 6-9 years data engineering experience
  • 2+ years senior level experience
  • Advanced SQL expertise
  • Strong Python proficiency
  • Experience with data orchestration tools
  • Experience with document extraction and processing
  • Experience with Azure cloud services

Work Rights

Not specified

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