About this role
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.
Qualifications
Experience · 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.
Education · 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.