Data Architect I

Role Proficiency:
Design develop and implement data architecture for a large enterprise in two of the following: Data ingestion Data Management Data Delivery Data Consumption.

Outcomes:

- Architect design and implement high performance large volume data integration transformation warehouse data lakes data in cloud or large volume warehouse data in cloud data analysis reporting and visualization of data from data warehouse using any one tool like(PowerBI Tableau D3 etc)
- Design and implement any one of cloud big data solution (AWS/AZURE/GCP/Apache Hadoop)
- Plan information architecture by studying the site concept strategy domain and target audience; information structure and features designing information structure evaluating information representation backup recovery and security specification
- Customer focus - improves customer service effectively engages customers build with customer on your solution capability.
- Provide end-to-end technical guidance and roadmaps for Sales & Marketing
- Validate estimates from team
- Hold certification in Architect/Big Data specialty certification in one of AWS or Azure or GCP with experience in knowledge of other architecting Big Data solutions on other cloud and Big Data platforms

Measures of Outcomes:

- Percent of time spent in a year to develop for customer an architecture or strategy for data
- Percent of time spent in solving customer problem in data area
- Percent of time spent for provide data strategy for customer
- Dollar value of RFP’s won for which solutioning was proposed
- Dollar value saved for customer using cost reduction or dollar value created for customer by prediction models by you or your team

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
- Establish 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
- Ensure business needs in operational data
reporting data are met

Operational Management:

- Establish governance
stewardship
and frameworks for managing data across the organization
- Develop and promote data management methodologies and standards
- Select and implement the appropriate tools
software
and systems to support data technology goals
- Collaborate with project managers and business teams for all projects involving enterprise data
- Address data-related issues with systems integration
compatibility
and multi-platform integration
- Act as a leader and advocate of data management
including coaching
training
and Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture
- Document 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:

- Provide inputs to teams for training
etc.
- Identify the training needs and conduct internal sessions to meet the same
- Partner with UST Gamma to Create curriculum
assessments
training programs
courseware based on new service offerings and solutions etc.
- Update collateral on to the knowledge management repository
- Gain and cultivate domain expertise to provide best and optimized solution to customer

Requirement gathering and Analysis:

- Understand the requirements from a larger system / transformation program context

by working with customers and other stakeholders

People Management:

- Provide support to various project managers in identification of training needs of the team
- Conduct training / certifications with the help of Gamma and mentoring with respect to technical skills on projects
- Perform career guidance and performance management for team members

Alliance Management:

- Identify alliance partners based on the understanding of service offeri