Main Responsibilities:
Develop and maintain the organization’s overall data architecture, including data models, integration patterns, and workflows.
Define strategies for data storage, access, and processing, ensuring alignment with business objectives.
Create conceptual, logical, and physical data models to meet the organization’s data needs.
Ensure seamless integration of data from diverse sources, including databases, APIs, and real-time streaming systems.
Work with API and middleware teams to enable real-time and batch data sharing using standards-compliant protocols (e.g., REST, GraphQL).
Design systems to handle growing data volumes and high-performance requirements.
Optimize database performance, query execution, and data retrieval processes.
Implement data standards, policies, and best practices for data management and governance.
Collaborate with Information security teams to ensure data privacy, compliance, encryption, access controls, and data masking for shared datasets.
Implement robust data security frameworks to protect sensitive trade and compliance data during sharing and storage.
Ensure compliance with data privacy regulations.
Assess and recommend data management tools, technologies, and platforms (e.g., data warehouses, data lakes, cloud storage, analytics platforms).
Work closely with Data Engineers, Analysts, and Business Leaders to understand data requirements and translate them into architectural solutions.
Support teams in designing and implementing analytics and AI/ML solutions.
Document the data architecture, models, and processes to ensure clarity and accessibility for stakeholders.
Provide guidance and training to team members on data-related tools, technologies, and best practices.
Qualifications, Experience and Skills:
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
Proven experience as a Data Architect, with a strong track record in data modeling, architecture design, and data integration.
Hands-on experience with databases (SQL/NoSQL), Data Warehouses, Data Lakes, and ETL/ELT tools.
Proficiency in database technologies (e.g., Oracle, MS SQL Server, PostgreSQL, MySQL, MongoDB).
Experience with big data tools (e.g., Hadoop, Spark, Kafka)
Pakistan Single Window (PSW) is an ICT-based system in Pakistan providing a single window for trade. PSW is a facility that allows parties involved in trade and transport to lodge standardized information and documents at a single-entry point to fulfill all import, export, and transit-related regulatory requirements. If information is electronic, then individual data elements need to be submitted only once. PSW will connect relevant government departments with each other and with economic operators like importers, exporters, customs agents, shipping agents, transporters etc, in Pakistan for efficient management of cross border trade. It will provide the ease and transparency in achieving compliance with relevant regulatory requirements, through an on-line facility, that will intelligently handle the information for each transaction without the need to provide same information more than once or to physically visit such government departments. Pakistan has committed to implement various provisions of World Trade Organization’s (WTO) Trade Facilitation Agreement that includes implementation of a National Single Window (NSW) system before February, 2022. Pakistan also needs PSW implementation to overhaul management of its external trade for reducing time, cost and complexity involved to improve its position in various global rankings on competitiveness and ease of doing business. Guiding vision and mission objectives: VISION: Pakistan will establish a world-class automated hub by 2022, offering services and creating efficiencies, to reduce cross border trade related costs, time and complications for improved trade facilitation and compliance. MISSION: Improve cross-border trader processing by providing centralized ICT based services, simplified processes, effective and reliable automation, harmonized data exchange and risk-based selectivity in enforcement of government’s regulations.