Associate Data Architect Ii

12 - 15 Years
- 2 Openings
- Bangalore, Chennai, Kochi, Trivandrum

**Role description**:
Role Proficiency:
Leverage expertise in a technology area (e.g. Informatic Transformation Terradata data warehouse Hadoop Analytics); responsible for System Architecture.

Outcomes:

- Implement any two of either/or data extract and transformation or a data warehouse(ETL Data Extracts Data Load Logic Mapping Work Flows stored procedures data warehouse ) or implement data analysis solution implement data reporting solutions or implement cloud data tools in any one of the cloud provider(AWS/AZURE/GCP)
- Create design by preparing data models; designing information structure work-and dataflow and navigation. Define backup recovery and security specifications
- Define and enforce naming standards and data dictionary for data models
- Provided guidance to business to create use cases for data services
- Provide or guide team to perform estimates
- Help team to develop proof of concepts (POC) and solutions relevant to customer problems; able to trouble shoot problems while developing POCs
- Hold certification in Architect/Big Data Speciality Certification in one of AWS or Azure or GCP with exposure and understanding of other cloud and Big Data platforms

Measures of Outcomes:

- Percent of billable time spent in a year for developing and implementing data architecture
- Number of RFP response given in a year
- Number of best practices documented in any new tool and technology emerging in the market
- Number of associates trained on the data service practice
- Number of Proof of Concepts developed

Outputs Expected:
Strategy & Planning:

- Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users
department managers
clients
and other key stakeholders
- Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
- Establish processes for governing the identification
collection
and use of corporate data assets and metadata; take steps to assure metadata accuracy and validity
- Implement methods and procedures for tracking data quality
completeness
redundancy
and improvement.
- Ensure that data strategies and architectures meet regulatory compliance requirements.
- Engage external stakeholders including standards organizations
regulatory bodies
operators
and scientific research communities.

Operational Management:

- Establish governance
stewardship
and frameworks for managing data across the organization
- Develop and contribute data management methodologies and standards
- Provide support in implementing the appropriate tools
software
and systems to support data technology goals
- Collaborate with project managers and business teams for all projects involving enterprise data
- Analyse data-related issues with systems integration
compatibility
and multi-platform integration
- Act as a first point of connect for data management
including coaching
training. Implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture
- Document and track the data architecture and environment in order to maintain a current and accurate view of the larger data picture
- Identify and develop opportunities for data reuse
migration
or retirement

Project Control and Review:

- Perform data architecture design review
- Identify opportunities for optimization of cost
time
and asset utilization in complex projects and advise relevant teams accordingly where possible
- Provide advice to teams facing complex technical issues in the course of project delivery
- Conduct planned and unplanned technical audits for complex projects as applicable
- Define and measure project and program specific architectural and technology quality metrics

Knowledge Management & Capability Development:

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

Requirement gathering and Analysis:

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

People Management:

- Set goals and manage performance of technical specialists and team engineers
- Provide career guid