Vice President, Data Engineering

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

Primary Functions & Responsibilities:

Data Platform Engineering

• Lead engineering teams responsible for enterprise data platforms, cloud-native data services, and modern data architectures.
• Drive scalable, secure, and resilient data engineering solutions on Microsoft Azure.
• Partner with global architecture teams to establish engineering standards, reusable frameworks, and platform best practices.
• Ensure operational excellence, reliability, performance, and platform availability.

AI Engineering & Data Products

• Lead engineering for AI platforms, MLOps, developer tooling, and enterprise AI enablement.
• Deliver reusable data products, APIs, and engineering capabilities supporting analytics and AI across the firm.
• Partner with Data Governance and MDM teams to ensure trusted, governed, high-quality data.

Technical Leadership

• Serve as the senior technical leader for the India Data & AI Engineering organization.
• Provide architecture guidance, code quality standards, engineering governance, and technical mentoring.
• Champion DevSecOps, CI/CD, automation, observability, and engineering excellence.
• Evaluate emerging technologies and recommend strategic investments.

People Leadership

• Build, lead, and develop a world-class Data & AI Engineering organization in India.
• Recruit, mentor, and retain exceptional engineering talent while creating a culture of ownership, innovation, collaboration, and continuous learning.
• Partner with global leaders across the Americas, Europe, and Asia to deliver strategic technology initiatives.

• 15+ years of progressive experience in software engineering, data engineering, or platform engineering.
• Experience leading large engineering organizations within global enterprises.
• Track record of delivering enterprise-scale cloud data platforms and engineering transformation.

Technical Expertise

• Deep expertise in Azure, Databricks, Spark, Data Lakes, SQL, Python, data pipelines, and cloud-native engineering.
• Strong understanding of AI engineering, MLOps, DevOps, APIs, microservices, Kubernetes, and distributed systems.
• Experience with enterprise architecture, security, governance, and engineering best practices.

Leadership

• Technically astute leader with credibility across engineering teams and executive stakeholders.
• Strong communication, organizational leadership, and stakeholder management skills.
• Passion for coaching engineers and building high-performing teams.

• Bachelor's degree in Computer Science, Engineering, or related discipline required.
• Advanced degree and Azure certifications preferred.

Reporting Relationships

Managing Director, Head of Data Engineering & AI Platforms

There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.