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 Dev SecOps, 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.

· Solid understanding of AI engineering, MLOps, Dev Ops, 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.

📌 Vice President, Data Engineering (India)
🏢 Ares Management
📍 India