Data Analytics Architect - Bengaluru, India - Wipro Limited

Wipro Limited

Verified Company

Bengaluru, India

1 week ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

Overview:

Role Purpose

The purpose of the role is to define and develop Enterprise DataStructure along with Data Warehouse, Master Data, Integration andtransaction processing with maintaining and strengthening the modellingstandards and business information_

Do
- **Define and Develop Data Architecture that aids organizationand clients in new/ existing deals**- _Partnering with business leadership (adopting therationalization of the data value chain) to provide strategic,information-based recommendations to maximize the value of data andinformation assets, and protect the organization from disruptions whilealso embracing innovation_
- _ Assess the benefits and risks of data by using tools such asbusiness capability models to create an data-centric view to quicklyvisualize what data matters most to the organization, based on thedefined business strategy_
- _ Create data strategy and road maps for the Reference DataArchitecture as required by the clients_
- _ Engage all the stakeholders to implement data governance modelsand ensure that the implementation is done based on every change request_
- _ Ensure that the data storage and database technologies aresupported by the data management and infrastructure of the enterprise_
- _ Develop, communicate, support and monitor compliance with DataModelling standards_
- _ Oversee and monitor all frameworks to manage data acrossorganization_
- _ Provide insights for database storage and platform for ease ofuse and least manual work_
- _ Collaborate with vendors to ensure integrity, objectives andsystem configuration_
- _ Collaborate with functional & technical teams and clients tounderstand the implications of data architecture and maximize the valueof information across the organization_
- _ Presenting data repository, objects, source systems along withdata scenarios for the front end and back end usage_
- _ Knowledge of all the Data service provider platforms and ensureend to end view. _
- _Oversight all the data standards/ reference/ papers for propergovernance_
- _ Promote, guard and guide the organization towards commonsemantics and the proper use of metadata_
- _ Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout anorganization to ensure a common understanding, consistency, accuracy andcontrol _
- _Provide solution of RFP's received from clients and ensureoverall implementation assurance_

Develop a direction to manage the portfolio of all the databasesincluding systems, shared infrastructure services in order to bettermatch business outcome objectives
Analyse technology environment, enterprise specifics, clientrequirements to set a collaboration solution for the big/small data
Provide technical leadership to the implementation of customsolutions through thoughtful use of modern technology
Define and understand current issues and problems and identifyimprovements
Evaluate and recommend solutions to integrate with overalltechnology ecosystem keeping consistency throughout
Understand the root cause problem in integrating business andproduct units
Validate the solution/ prototype from technology, cost structure andcustomer differentiation point of view
Collaborating with sales and delivery leadership teams to identifyfuture needs and requirements

- **Building enterprise technology environment for dataarchitecture management**- _ Develop, maintain and implement standard patterns for datalayers, data stores, data hub & lake and data management processes_
- _ Evaluate all the implemented systems to determine theirviability in terms of cost effectiveness_
- _ Collect all the structural and non-structural data fromdifferent places integrate all the data in one database form _
- _Work through every stage of data processing: analysing,creating, physical data model designs, solutions and reports_
- _ Build the enterprise conceptual and logical data models foranalytics, operational and data mart structures in accordance withindustry best practices_
- _ Implement the best security practices across all the data basesbased on the accessibility and technology_
- _ Strong understanding of activities within primary disciplinesuch as Master Data Management (MDM), Metadata Management and DataGovernance (DG) _
- _Demonstrate strong experience in Conceptual, Logical andphysical database architectures, design patterns, best practices andprogramming techniques around relational data modelling and dataintegration_
- **Enable Delivery Teams by providing optimal deliverysolutions/ frameworks**- _ Build and maintain relationships with delivery and practiceleadership teams and other key stakeholders to become a trusted advisor_
- _ Define database physical structure, functional capabilities,security, back-up and recovery specifications_
- _ Develops and establishes relevant technical, business processand overall support metrics (KPI/SLA) to drive results_
- _ Monitor system capabilities and per