Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.
Job Description
Ares Management is seeking a Vice President, Data Engineering & Data Products is responsible for leading the enterprise data engineering organization responsible for transforming raw data into trusted, consumable, and business-ready data products. This role owns the design, development, and operation of scalable data pipelines, transformation frameworks, data models, and curated data products built on the Databricks Lakehouse platform.
The successful candidate will partner closely with Data Ingestion & Integration, Data Distribution Services, Data Governance, Master Data Management, Enterprise Architecture, and business domain teams to deliver trusted and reusable enterprise data products.
Reporting relationships
Reports to: Principal, Head of Data Platforms
Supervises: n/a
Primary functions & responsibilities
Enterprise Data Engineering
· Define and execute the enterprise Data Engineering and Data Products strategy.
· Establish engineering standards, frameworks, and best practices for data transformation and product development.
· Build and lead high-performing teams of data engineers, platform engineers, and data product developers.
· Drive the transition from project-based data delivery to product-centric data management.
· Partner with business and technology leaders to prioritize strategic data products and capabilities.
· Define engineering KPIs, quality metrics, SLAs, and operational objectives.
· Lead technology investment decisions and engineering modernization initiatives.
Data Platform Development
· Own enterprise ETL/ELT standards and transformation frameworks.
· Design and deliver scalable pipelines that transform raw source data into business-ready datasets.
· Lead development of reusable transformation patterns utilizing Databricks and Spark.
· Implement complex business logic, aggregations, calculations, and derived metrics.
· Enable standardized enrichment processes leveraging internal and external datasets.
· Optimize data processing performance, scalability, and cost efficiency.
· Ensure consistency of data transformations across business domains.
Business & Stakeholder Engagement
· Partner directly with stakeholders across Investment Operations, Finance, Compliance, Investor Relations, Risk, and Investment teams.
· Translate complex business requirements into scalable technical solutions.
· Drive successful delivery of strategic data initiatives and enhancements.
Data Governance & Quality
· Implement and support data quality controls, lineage, metadata, and governance capabilities.
· Contribute to data security, privacy, and compliance requirements.
· Establish technical standards and engineering best practices.
Leadership & Collaboration
· Lead technical workstreams and complex engineering initiatives.
· Mentor junior team members and provide technical guidance.
· Participate in architecture discussions and technology evaluations.
· Collaborate with leadership on platform roadmap and prioritization efforts.
Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
Experience Required:
· Extensive experience designing and implementing enterprise-scale ETL/ELT solutions utilizing Databricks, Apache Spark, Delta Lake, Python,…