- Location
- Mumbai, India
- Type
- Full-time
- Department
- Engineering
- Seniority
- VP
- Education
- Bachelor
- Source
- Workday
Description
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 PlatformsThere 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.