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Ares Management

Vice President, Data Engineering

LocationMumbai, India
Typefull-time
SeniorityVP
Experience15+ yrs
DepartmentData & AI Engineering
Company size1,001–5,000 people
First seenOct 8, 2026 · 3d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have10
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
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
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
Nice to have1
Advanced degree and Azure certifications preferred
Skills
Azure
Databricks
Spark
Data Lakes
SQL
Python
DevOps
CI/CD
APIs
microservices
Kubernetes
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
Hiring process
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.
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