Data Analytics Architect

Wipro Limited · Other US Location

Company

Wipro Limited

Location

Other US Location

Type

Full Time

Job Description

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
  • Stakeholder Interaction

    Stakeholder Type

    Stakeholder Identification

    Purpose of Interaction

    Internal

    Delivery manager/ Delivery Leadership team

    Review of architectural process deployment in engagements,escalation management, issue resolution

    Pre-sales team

    For solutioning of a proposal

    Practice teams/ SL leadership

    To understand the different data migration

    Sales Team

    For client engagement, farming activities

    Holmes engineering and roll out

    For automation purpose

    Talent Transformation Team, Competency Group

    Plan and support delivery of Technical Trainings, knowledgesharing

    HRBP

    For hiring and managing resources

    External

    Vendors/ Partners

    For strategic alignment and partnerships, training

    Industry forums

    Best practices, market intelligence, knowledge sharing

    Display

    Lists the competencies required to perform this role effectively:

    • Functional Competencies/ Skill
      • Domain/Industry Knowledge - Awareness and knowledge of broadeconomic, demographic, technological and global trends within ownecosystem - Expert
      • Market Intelligence - Deep specialized understanding of theecosystem practice, overall market & competition and nuances ofdelivery in that domain - Master
      • Systems Thinking - Understanding of the Wipro system(interrelatedness, interdependencies and boundaries) and perform problemsolving in a complex environment - Expert
      • Leveraging Technology - In-depth knowledge of and mastery overecosystem technology that commands expert authority respect -Master
      • Asset reusability - ability to re-use the assets to ensurescalability and optimization - Expert
      • Technical knowledge - architecture design principles,framework and documentation - Expert

    Competency Levels

    Foundation

    Knowledgeable about the competency requirements. Demonstrates (inparts) frequently with minimal support and guidance.

    Competent

    Consistently demonstrates the full range of the competency withoutguidance. Extends the competency to difficult and unknown situations aswell.

    Expert

    Applies the competency in all situations and is serves as a guide toothers as well.

    Master

    Coaches others and builds organizational capability in the competencyarea. Serves as a key resource for that competency and is recognisedwithin the entire organization.

    • Behavioral Competencies
      • Strategic perspective
      • Technology Acumen
      • Innovation
      • Managing Complexity
      • Client centricity
      • Execution excellence
      • Change agility
      • Passion for results
      • Nurturing people
      • Executive presence

    Deliver

    No.

    Performance Parameter

    Measure

    1.

    Support sales team to create wins

    % of proposals with Quality Index >7, timely support of theproposals, identifying opportunities/ leads to sell services within/outside account (lead generation), no. of proposals led

    2.

    Delivery support

    CSAT, delivery as per cost, quality and timelines, Identify anddevelop resuable components, utilization %, Recommend tools for reuse,automation for improved productivity and reduced cycle times, # ofreusable components

    3.

    Capability development

    % trainings and certifications completed, increase in ACEcertifications, thought leadership content developed (white papers,Wipro PoVs)

    4.

    Practice Building

    Identifying opportunities for architects in the account and outsidethrough known contacts, Contribute towards domain and technologyaccelerator kits, Mentoring junior architects

    5.

    Team Management

    Team attrition %, Employee satisfaction score

    DataBricks - Data Engineering

    Date Posted

    11/05/2023

    Views

    11

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