Data Analytics Architect

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

Define high-level data migration plans to transition the datafrom source to target system/ application addressing the gaps betweenthe current and future state, typically in sync with the IT budgeting orother capital planning processes

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

Tracks industry and application trends and relates these to planningcurrent and future IT needs

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 performance by performing testsand configurations

Integrate new solutions and troubleshoot previously occurrederrors

Manages multiple projects and accurately reports the status ofall major assignments while adhering to all project management standards

Identify technical, process, structural risks and prepare a riskmitigation plan for all the projects

Ensure quality assurance of all the architecture or designdecisions and provides technical mitigation support to the deliveryteams

Recommend tools for reuse, automation for improved productivityand reduced cycle times

Help the support and integration team for better efficiency andclient experience for ease of use by using AI methods.

Develops trust and builds effective working relationshipsthrough respectful, collaborative engagement across individual productteams

Ensures architecture principles and standards are consistentlyapplied to all the projects

Ensure optimal Client Engagement

Support pre-sales team while presenting the entire solution designand its principles to the client

Negotiate, manage and coordinate with the client teams to ensure allrequirements are met

Demonstrate thought leadership with strong technical capability infront of the client to win the confidence and act as a trusted advisor

Competency Building and Branding

Ensure completion of necessary trainings and certifications

Develop Proof of Concepts (POCs), case studies, demos etc. fornew growth areas based on market and customer research

Develop and present a point of view of Wipro on solution designand architect by writing white papers, blogs etc.

Conducting workshops for all the stakeholders, creating content,e-learning courses and ways for knowledge transfer with a platform forall the data related sources

Attain market referencability and recognition through highestanalyst rankings, client testimonials and partner credits

Be the voice of Wipro's Thought Leadership by speaking inforums (internal and external)

Mentor developers, designers and Junior architects in theproject for their further career development and enhancement

Contribute to the architecture practice by conducting selectioninterviews etc

Team Management

Resourcing

Anticipating new talent requirements as per the market/ industrytrends or client requirements

Hire adequate and right resources for the team

Talent Management

Ensure adequate onboarding and training for the team members toenhance capability & effectiveness

Build an internal talent pool and ensure their career progressionwithin the organization

Manage team attrition

Drive diversity in leadership positions

Performance Management

Set goals for the team, conduct timely performance reviews andprovide constructive feedback to own direct reports

Ensure that the Performance Nxt is followed for the entire team

Employee Satisfaction and Engagement

Lead and drive engagement initiatives for the team

Track team satisfaction scores and identify initiatives to buildengagement within the team

Mandatory Skills

DataBricks - Data Engineering