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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Job Description:

Role Purpose

The purpose of this role is to design solution architecture for cross-system interactions and business logic integration, ensuring seamless interoperability across multiple applications.

Area of Responsibility

Requirement Analysis-Participate in requirement discussions with client stakeholders to define solution and implementation level needs basis the business requirements.

Designing-Create solution architecture designs to meet cross-system interactions and business logic integration requirements, ensuring system cohesion across multiple applications.

Integration assessment and support-Assess and evaluate interactions across multiple applications by evaluating implementation dependencies and integration requirements.

Troubleshooting-Support validation of solution components during implementation and ensures the solution functions as designed.

Risk Analysis and Assessment-Assist in identifying potential risks by evaluating system performance of implemented architectural solutions, to ensure efficient system landscape.

Data Architect

Location
- Irving TX OR Tampa, FL

• Define and drive enterprise-wide Data Mesh strategy, architecture, and operating model
  .
• Establish domain-oriented data ownership and federated governance frameworks.
• Lead the design, lifecycle management, and adoption of Data Products
  .
• Define standards for data contracts, interoperability, metadata, lineage, quality, observability, and discoverability.
• Enable self-service data consumption and product-driven data delivery across business domains.

Data Lake / Lakehouse Architecture

• Design scalable cloud-native Data Lake/Lakehouse platforms
  supporting structured, semi-structured, and unstructured data.
• Define architectures for batch, streaming, API, and event-driven integration patterns.
• Create target-state architectures supporting BI, Advanced Analytics, AI/ML, and GenAI use cases.
• Lead modernization initiatives from legacy data warehouses and siloed platforms to modern cloud ecosystems.

Governance, Security & Quality

• Implement federated governance, privacy, security, and compliance controls by design.
• Establish enterprise standards for data quality, observability, lineage, cataloging, and monitoring.
• Ensure compliance with regulatory and enterprise security requirements.

Leadership & Stakeholder Management

• Develop reference architectures, roadmaps, standards, and reusable design patterns.
• Provide architecture leadership across business, technology, data engineering, governance, and cloud teams.
• Engage with CDOs, CIOs, business leaders, and domain owners to align architecture with business outcomes.
• Mentor architects and engineering teams on modern data architecture practices.

Required Experience

• 12+ years
  in Data Architecture, Data Engineering, or Enterprise Architecture.
• Data as a Product Operating Models
• Federated Data Governance
• Self-Service Data Platforms
• Hands-on experience with cloud data platforms such as:
• Databricks
• Snowflake
• Microsoft Fabric
• AWS Data Services

Strong knowledge of metadata management, lineage, data quality, observability, Data Ops, and CI/CD

Mandatory

Skills:

Database…