AVP, Client Platforms - Data Architect
At a glance
Mid-level Data Architecture & Governance role at Aresmgmt. Mumbai · full-time.
Pay not stated Data Architecture & Governance salary
dataroles summary, based on the employer's posting.
What you'll do
- Lead the team that ingests, transforms, models, orchestrates, stores and delivers client data
- Design and run enterprise data lakes and Lakehouse systems for client use cases
- Set governance for data models, lineage, quality and protection, and keep platforms within security and regulatory controls
- Own delivery from roadmap work through production support, tracking reliability, cost, speed and platform adoption
- Hire and develop engineering leaders while overseeing data-tool vendors and mission-critical platform operations
What you bring
- At least twelve years in technology, including substantial leadership in data architecture, design and delivery
- A bachelor's degree; engineering or computer science training is strongly preferred, and a higher degree is a plus
- You have built and operated enterprise data platforms and led teams, partnering with senior business and technology leaders
- Hands-on knowledge of Azure or other cloud platforms, Databricks, Lakehouse systems, Salesforce data models and data quality
Who this fits
This role suits a senior data architect who wants to lead both platform delivery and an engineering team. You’ll report to the Managing Director, Head of Client Platforms, and work in Mumbai, India.
From the employer
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 Engineering & Platform Leadership
- Lead the Client Platform Data Engineering function, responsible for ingestion, transformation, modeling, orchestration, storage and delivery of Ares’ Client data
- Have primary accountability for aligning to Ares’ data governance standards including modeling, lineage, data quality, and data protection standards
- Own the design and operation of enterprise data lakes and Lakehouse architectures, supporting client use cases.
- Apply best-in-class engineering standards for data pipelines, CI/CD, testing, and data quality assurance
Architecture & Engineering Excellence
- Partner with the Data and AI organization to define and apply data reference architectures
- Partner with Infrastructure, Platform Engineering, Security, and Architecture teams to ensure scalability, resiliency, data privacy and regulatory compliance.
- Promote modern engineering practices including DevOps, Automated testing and data quality assurance
- Ensure platforms meet enterprise requirements for security, auditability, privacy, and regulatory controls.
Execution, Delivery & Operations
- Own end-to-end engineering delivery, from roadmap execution through production operations.
- Establish delivery metrics (velocity, reliability, cost efficiency, platform adoption).
- Lead vendor selection and management for data related tooling.
- Ensure platform stability, uptime, and support for mission-critical investment and client workflows.
Leadership & Talent Development
- Build and lead a high-performing engineering team.
- Develop leaders and succession pipelines.
- Foster a strong engineering culture focused on quality, accountability, innovation, and continuous improvement.
Qualifications
Experience & Background
- 12+ years of progressive technology experience, with significant leadership experience in data architecture, design and delivery
- Proven experience building and operating enterprise-scale data platforms, ideally in asset management, alternatives, banking, or similarly complex regulated environments.
- Demonstrated success leading teams
- Strong track record partnering with senior business and technology leaders
Technical Expertise
- Deep hands-on understanding of:
- Cloud platforms (Azure preferred; AWS/GCP experience welcome)
- Databricks, Lakehouse architecture, and modern data stacks
- Salesforce data modeling
- Data Modelling, including lineage and transformation
- Data quality assurance
- Experience integrating commercial AI tools with proprietary data preferred
Education
- Bachelor’s degree required, advanced degree preferred.
- Engineering or Computer Science background strongly preferred.
Reporting Relationships
Managing Director, Head of Client 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.