Data Architect Position Overview
As a Data Architect, you will play a pivotal role in shaping the organization's data architecture framework. This involves managing data through relevant models, standards, and ontologies, ensuring alignment with data quality, improvement, and governance initiatives.
Key Responsibilities:
* Assess the effectiveness of existing technologies and processes, creating implementation plans as needed, and recommending new solutions to enhance data monetization, platforms, customer 360 views, and analytics strategy.
* Establish an operating model for effective data management, defining roles for Data Stewards and aligning all data and analytics initiatives with enterprise goals.
* ID opportunities to utilize data across regions, designing and implementing an enterprise data model to manage large-volume transaction processing.
* Define data ownership, standards, policies, and associated processes.
* Deliver data lineage and auditing framework for the data platform.
* Manage performance and scalability design, measurement, and optimization for the data platform.
* Establish an architectural framework for effective Data Governance across all business areas and technical implementations.
Requirements:
* Minimum 5 years of industry experience as a Data Architect.
* Extensive experience in managing telecoms data sets from architecture to data quality and governance.
* Experience in data management, handling, organization, and use of structured and unstructured data.
* Delivering enterprise-level data management solutions.
* Familiarity with top industry Architecture, Data modelling, BI, data warehouse, and reporting tools.
* Familiarity with Agile-Scrum methodology and practices.
* Strong analytical and problem-solving skills.
* Minimum of Bachelor's Degree (preferably Computer Science, Engineering, Mathematics).
About the Role:
This full-time permanent position offers a Hybrid working scenario with a competitive package. You will be responsible for taking ownership of the data architecture framework and driving data-driven decision-making throughout the organization.