Description

Key Responsibilities: 
Data Architecture & Design
Data Modeling: Design, maintain, and evolve comprehensive data models (Conceptual, Logical, and Physical) for core business services and platforms. 
Data Flow: Define and create data flow diagrams and orchestration strategies, ensuring efficient and governed data movement between upstream and downstream systems. 
System Alignment: Collaborate closely with Application and Cloud Architects to ensure the organization’s technical systems are designed to fully support the established data architecture standards. 
Technology Selection: Develop product short-lists and evaluation criteria for selecting data architecture components, such as data warehousing solutions, Big Data platforms (e.g., Hadoop, Spark, Kafka), and database technologies (SQL/NoSQL). 
Data Governance & Quality 
Governance Frameworks: Evolve and define data governance policies, standards, and best practices across the organization. 
Metadata Management: Design, support, and manage data dictionaries, metadata repositories, and common entities to ensure consistent use and definition of data. 
Data Quality: Drive the standards for Data Quality across multiple datasets, ensuring consistency and data trust across the enterprise. 
Compliance: Design data retention, upgrade, management, decommission, and archive strategies in compliance with data policies and regulatory standards (e.g., data privacy). 
Technical Leadership & Mentorship 
Oversight: Provide technical oversight, advice, and guidance to other Data Architects, Data Engineers, and development teams regarding data structures and associated components

Key Skills

Education

Bachelor's degree