Data Architect

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.

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The purpose of this role is to define secure integration strategies, devise solution frameworks for enterprise systems, and identify infrastructure dependencies to enable efficient and compliant implementation.

Requirement Analysis-Collaborate with business leaders and technical teams to define solution strategies that align with enterprise IT roadmap, security, and risk management requirements, ensuring implementation feasibility across multiple systems.

Designing-Create design frameworks for enterprise systems, review implementation across applications, and assist in creating reusable patterns and governance processes to ensure proper integration and risk control.

Integration assessment and support-Define integration framework, manage infrastructure dependencies, and create strategies for secure and efficient integration across enterprise systems.

Troubleshooting-Assess the solution in the client environment and address any issues identified during the troubleshooting process through appropriate remediation steps.

Risk Analysis and Assessment-Identify potential risks, potential impact and define governance processes for risk management and compliance across enterprise solutions and review its adherence.

RFPs-"Collaborate with sales and delivery teams to contribute to proposals by providing inputs on the interoperability of multiple applications within an enterprise system, identification of change areas, and integration approaches aligned with business needs."

Preferred location NJ/NY/PA/CT

Primary

Skills:

Data Mesh Architecture implementation using Palantir Foundry

Secondary

Skills:

Financial Services, Fraud Management platform build experience is a great addition

Design and build the data architecture that fraud detection runs on: the real-time decisioning path, the lakehouse that models are trained from, the data products the estate is organized around, and the virtualization layer that gives investigators context without proliferating copies.
This is a builder's role. The successful candidate will be in design reviews, writing and reviewing technical specifications, and making calls on partitioning, latency budgets and state management. Candidates whose recent experience is exclusively advisory will not be a fit.

• Fraud data architecture
  - Own the end-to-end design across three latency tiers: the decision plane (sub-150ms, materialised state, no federated access), the investigation plane (seconds, virtualized), and the model and analytics plane (lakehouse)
• Working knowledge of Palantir Data Foundry and Palantir’s Data Mesh implementation experience
• Lakehouse design and build.
• Data mesh implementation
  - Define the fraud data product topology, the contract standard between producing domains and the fraud platform, the quality metrics attached to each product, and the federated governance model that keeps ownership distributed while evidence stays central
• Data virtualization
  - Design the federated access layer for investigation and analytics
• Real-time data path
  - Design the streaming ingestion, the ISO 20022…