Job Title: Data Architect L2

City: Hyderabad

State/Province: Telangana

Posting Start Date: 1/28/26

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.

For additional information, visit us at www.wipro.com.

Role Purpose The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration, and transaction processing while maintaining and strengthening the modelling standards and business information.

Do

1. Define and Develop Data Architecture that aids organization and clients in recent/existing deals
- Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation
- Assess the benefits and risks of data by using tools such as business capability models to create a data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy
- Create data strategy and road maps for the Reference Data Architecture as required by the clients
- Engage all stakeholders to implement data governance models and ensure that the implementation is done based on every change request
- Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise
- Develop, communicate, support, and monitor compliance with Data Modelling standards
- Oversee and monitor all frameworks to manage data across the organization
- Provide insights for database storage and platform for ease of use and least manual work
- Collaborate with vendors to ensure integrity, objectives, and system configuration
- Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization
- Present data repository, objects, source systems along with data scenarios for front-end and back-end usage
- Define high-level data migration plans to transition the data from source to target system/application, addressing the gaps between the current and future state,



typically in sync with the IT budgeting or other capital planning processes
- Knowledge of all the Data service provider platforms and ensure end-to-end view
- Oversight of all the data standards/reference/papers for proper governance
- Promote, guard, and guide the organization towards common semantics and the proper use of metadata
- Collecting, aggregating, matching, consolidating, quality-assuring, persisting, and distributing such data throughout the organization to ensure a common understanding, consistency, accuracy, and control
- Provide solutions to RFPs received from clients and ensure overall implementation assurance
- Develop a direction to manage the portfolio of all databases, including systems and shared infrastructure services, to better match business outcome objectives
- Analyze technology environment, enterprise specifics, and client requirements to set a collaboration solution for big/small data
- Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology
- Define and understand current issues and problems and identify improvements
- Evaluate and recommend solutions to integrate with the overall technology ecosystem, keeping consistency throughout
- Understand the root cause problem in integrating business and product units
- Validate the solution/prototype from technology, cost structure, and customer differentiation point of view
- Collaborate with sales and delivery leadership teams to identify future needs and requirements
- Track industry and application trends and relate these to planning current and future IT needs

- Building enterprise technology environment for data architecture management

- Develop, maintain, and implement standard patterns for data layers, data stores, data hub & lake and data management processes
- Evaluate all the implemented systems to determine their viability in terms of cost-effectiveness
- Collect all the structural and non-structural data from different places and integrate all the data in one database form
- Work through every stage of data processing: analyzing, creating, physical data model designs, solutions, and reports
- Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices
- Implement the best security practices across all the databases based on accessibility and technology




- Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management, and Data Governance (DG)
- Demonstrate strong experience in conceptual, logical, and physical database architectures, design patterns, best practices, and programming techniques around relational data modeling and data integration

- Enable Delivery Teams by providing optimal delivery solutions/frameworks

- Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor
- Define database physical structure, functional capabilities, security, back-up, and recovery specifications
- Develop and establish relevant technical, business process, and overall support metrics (KPI/SLA) to drive results
- Monitor system capabilities and performance by performing tests and configurations
- Integrate new solutions and troubleshoot previously occurred errors
- Manage multiple projects and accurately report the status of all major assignments while adhering to all project management standards
- Identify technical, process, and structural risks and prepare a risk mitigation plan for all projects
- Ensure quality assurance of all architecture or design decisions and provide technical mitigation support to the delivery teams
- Recommend tools for reuse, automation for improved productivity, and reduced cycle times
- Help the support and integration team for better efficiency and client experience for ease of use by using AI methods
- Develop trust and build effective working relationships through respectful, collaborative engagement across individual product teams
- Ensure architecture principles and standards are consistently applied to all projects
- Ensure optimal Client Engagement
- Support the pre-sales team while presenting the entire solution design and its principles to the client
- Negotiate, manage, and coordinate with client teams to ensure all requirements are met
- Demonstrate thought leadership with strong technical capability in front of the client to win confidence and act as a trusted advisor

Mandatory Skills: Network Operations - Utilities.

Experience: >10 YEARS.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

Apply now Apply Now

Start applying with LinkedIn

Start

Please wait...

📌 Data Architect (India)
🏢 Wipro
📍 India