Data Architect

Success Booster; Mumbai; On-site; INR 4,800,000 - 7,200,000; Full time

Job summary

Success Booster seeks an Associate Vice-President Data Architect to lead the Client Platforms Technology team, responsible for CRM, databases, data lakes, and lakehouses. You will guide data strategy, governance, and scalable data capabilities across global platforms in finance-related domains.

You will work closely with Data & AI and senior stakeholders to ensure platforms meet regulatory and business needs while balancing innovation and stability.

Qualifications

• 8+ years of progressive technology experience with leadership in data architecture.
• Experience building and operating enterprise-scale data platforms in regulated environments.
• Proven ability to lead teams and partner with senior leaders.

Responsibilities

• Serve as the senior data engineering authority for Client Platforms data.
• Set technical direction, standards, and ensure high-quality delivery across distributed teams.
• Collaborate with Data & AI, Infrastructure, Security and application leads to align strategy.

Skills

Leadership experience

Data architecture

Enterprise-scale data platforms

Stakeholder partnership

Data governance

Tools

Databricks

Lakehouse architecture

Salesforce data modeling

Job description

Associate Vice-President to serve as Data Architect for Client Platforms Technology, the engineering team responsible for all client-facing systems within , including Sales, Marketing, Client Reporting, and Digital/Web platforms. This leader will play a central role in enabling our continued global growth by building highly scalable, secure, and resilient data capabilities for both the institutional and wealth/retail businesses. Reporting to the Managing Director, Head of Client/Investor Technology, the successful candidate will partner with our Data and AI team to align strategy and with Institutional, Retail, Digital, and Client Reporting engineering leads to support business outcomes with a well-reasoned data infrastructure. The Client Platforms Data Architect will serve as the senior-most engineering authority for data within Client Platforms, accountable for data within our CRM, databases, data lakes, and lakehouses. This leader will operate as a hands-on engineer, responsible for setting technical direction, establishing engineering standards, and ensuring consistent, high-quality delivery across a globally distributed team. The role requires deep expertise in modern data engineering, strong judgment in build-versus-buy decisions, and the ability to partner effectively with infrastructure, security, and application engineering leaders to deliver platforms that meet enterprise requirements for scale, resiliency, governance, and regulatory compliance. The successful candidate brings a proven track record of building and operating enterprise-scale data platforms in complex, regulated financial services environments, combined with the leadership presence to influence senior stakeholders and develop a high-performing data team. This role demands both strategic thinking and execution excellence, balancing innovation with stability while ensuring that their data infrastructure delivers measurable business value, accelerates decision‑making, and provides a durable competitive advantage for the firm.

Experience & Background

• 8+ 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

Technical Expertise

• Deep hands‑on understanding of: o Cloud platforms (Azure preferred; AWS/GCP experience welcome) o Databricks, Lakehouse architecture, and modern data stacks o Salesforce data modeling o Data Modelling, including lineage and transformation o Data quality assurance
• Experience integrating commercial AI tools with proprietary data preferred