Job description 

Role Proficiency:

Leverage expertise in a technology area (e.g. Infromatica Transformation Terradata data warehouse Hadoop Analytics) Responsible for Architecture for a small/mid-size projects.
 

Outcomes:

1.      Implement either data extract and transformation a data warehouse (ETL Data Extracts Data Load Logic Mapping Work Flows stored procedures data warehouse) data analysis solution data reporting solutions or cloud data tools in any one of the cloud providers(AWS/AZURE/GCP)
2.      Understand business workflows and related data flows. Develop design for data acquisitions and data transformation or data modelling; applying business intelligence on data or design data fetching and dashboards
3.      Design information structure work-and dataflow navigation. Define backup recovery and security specifications
4.      Enforce and maintain naming standards and data dictionary for data models
5.      Provide or guide team to perform estimates
6.      Help team to develop proof of concepts (POC) and solution relevant to customer problems. Able to trouble shoot problems while developing POCs
7.      Architect/Big Data Speciality Certification in (AWS/AZURE/GCP/General for example Coursera or similar learning platform/Any ML)

Measures of Outcomes:

1.      Percentage of billable time spent in a year for developing and implementing data transformation or data storage
2.      Number of best practices documented in any new tool and technology emerging in the market
3.      Number of associates trained on the data service practice

Outputs Expected:

Strategy & Planning:

1. Create or contribute short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
    
2. Implement methods and procedures for tracking data quality
   completeness
   redundancy
   and improvement
    
3. Ensure that data strategies and architectures meet regulatory compliance requirements
    
4. Begin engaging external stakeholders including standards organizations
   regulatory bodies
   operators
   and scientific research communities or attend conferences with respect to data in cloud

Operational Management :

1. Help Architects to establish governance
   stewardship
   and frameworks for managing data across the organization
    
2. Provide support in implementing the appropriate tools
   software
   applications
   and systems to support data technology goals
    
3. Collaborate with project managers and business teams for all projects involving enterprise data
    
4. Analyse data-related issues with systems integration
   compatibility
   and multi-platform integration

Project Control and Review :

1. Provide advice to teams facing complex technical issues in the course of project delivery
    
2. Define and measure project and program specific architectural and technology quality metrics

Knowledge Management & Capability Development :

1. Publish and maintain a repository of solutions
   best practices and standards and other knowledge articles for data management 
    
2. Conduct and facilitate knowledge sharing and learning sessions across the team 
    
3. Gain industry standard certifications on technology or area of expertise
    
4. Support technical skill building (including hiring and training) for the team based on inputs from project manager /RTE’s 
    
5. Mentor new members in the team in technical areas
    
6. Gain and cultivate domain expertise to provide best and optimized solution to customer (delivery)

Requirement gathering and Analysis:

1. Work with customer
   business owners and other teams to collect
   analyze and understand the requirements including NFRs/define NFRs 
    
2. Analyze gaps/ trade-offs based on current system context and industry practices; clarify the requirements by working with the customer
    
3. Define the systems and sub-systems that define the programs

People Management:

1. Set goals and manage performance of team engineers
    
2. Provide career guidance to technical specialists and mentor them

Alliance Management:

1. Identify alliance partners based on the understanding of service offerings and client requirements
    
2. In collaboration with Architect create a compelling business case around the offerings
    
3. Conduct beta testing of the offerings and relevance to program

Technology Consulting:

1. In collaboration with Architects II and III
   analyze the application and technology landscapers
   process and tolls to arrive at the architecture options best fit for the client program
    
2. Analyze Cost Vs Benefits of solution options
    
3. Support Architects II and III to create a technology/ architecture roadmap for the client
    
4. Define Architecture strategy for the program

Innovation and Thought Leadership:

1. Participate in internal and external forums (seminars
   paper presentation etc)
    
2. Understand clients existing business at the program level and explore new avenues to save cost and bring process efficiency 
    
3. Identify business opportunities to create reusable components/accelerators and reuse existing components and best practices

Project Management Support:

1. Assist the PM/Scrum Master/Program Manager to identify technical risks and come-up with mitigation strategies

Stakeholder Management:

1. Monitor the concerns of internal stakeholders like Product Managers & RTE’s and external stakeholders like client architects
   on Architecture aspects. Follow through on commitments to achieve timely resolution of issues 
    
2. Conduct initiatives to meet client expectations 
    
3. Work to expand professional network in the client organization at team and program levels

New Service Design:

1. Identify potential opportunities for new service offerings based on customer voice/ partner inputs
    
2. Conduct beta testing / POC as applicable 
    
3. Develop collaterals
   guides for GTM