Wipro

Data Architect

Wipro • $100K — $200K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in data architecture and integration strategies.
  • Strong expertise in database architecting and enterprise systems design.
  • Proficient in Palantir Data Foundry and Data Mesh architecture implementation.
  • Experience in financial services and fraud management platforms is a plus.
  • Ability to assess risks and implement governance processes for compliance.

Responsibilities

  • Collaborate with business leaders to define solution strategies aligned with IT roadmap and security requirements.
  • Create design frameworks for enterprise systems and assist in governance processes.
  • Define integration frameworks and manage infrastructure dependencies for secure integration.
  • Troubleshoot solutions in client environments and implement remediation steps.
  • Contribute to RFPs by providing insights on application interoperability and integration approaches.
  • Design and build fraud data architecture across multiple latency tiers.
  • Implement data virtualization and real-time data paths for fraud detection.

Benefits

  • Full range of medical and dental benefits options.
  • Disability insurance.
  • Paid time off, including sick leave.
  • Other paid and unpaid leave options.
Full Job Description
Job Title: Data Architect City: Irving State/Province: Texas Posting Start Date: 9/30/26 Job Description: Role Purpose 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. Area of Responsibility 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." Enterprise Data Architect 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. ## Key responsibilities - 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 canonical event model, the bounded-window enrichment join between payment and channel telemetry, and the low-latency feature state store - Non-functional design - Latency budgets, throughput and capacity modelling, resilience and failure posture, data residency, retention, lineage and encryption Mandatory Skills: Database Architecting. Experience: >10 YEARS. The expected compensation for this role ranges from $100,000 to $200,000 . Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

About Wipro

Wipro Limited is an Indian multinational corporation that provides information technology, consulting and business process services. The company was founded in 1945 and is headquartered in Bengaluru, India. Wipro has operations in over 50 countries and employs over 191,000 people. The company's primary business is in the information technology sector, and it provides services such as application development and maintenance, digital strategy consulting, and data analytics.
Learn more about Wipro
Size
240,000 employees
Market Cap
$25.9 billion
Industry
Net Income
$101.4 billion
Founded
1945
5 Year Trend
+7.5%
Revenue
$614 billion
NASDAQ

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