Solution Architect

NCR Atleos · Islamabad, Pakistan

About NCR Atleos

NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe.

We are looking for a Solutions Architect / Data Modeler to design, develop, and maintain scalable and efficient data solutions that support enterprise applications, data warehouses, analytics, reporting, and integration platforms. The role will be responsible for translating business and technical requirements into robust data architectures and models, ensuring data consistency, quality, scalability, and performance across the enterprise.

The ideal candidate should have strong expertise in data modeling, solution and data architecture, data integration, data warehousing, and data governance, along with a solid understanding of enterprise data management best practices. The candidate will work closely with business stakeholders, architects, data engineers, developers, and other technology teams to define data structures, architecture standards, and solutions aligned with business objectives and enterprise architecture principles.

Key Responsibilities

• Data Modeling and Architecture: Develop and maintain Conceptual, Logical, and Physical Data Models, designing scalable and high-performing data structures for enterprise applications, data warehouses, analytics, reporting, and real-time data environments.


• Data Integration and Data Transformation: Define source-to-target mappings, data structures, transformation rules, and integration requirements to support ETL/ELT, data migration, and consolidation of data from multiple sources while ensuring data quality and consistency.


• Data Warehouse and Analytical Modeling: Design dimensional models, including Star and Snowflake schemas, optimized for reporting, business intelligence, analytical workloads, and data consumption requirements.


• Data Governance and Standards: Ensure data models adhere to enterprise data governance principles, modeling standards, naming conventions, metadata requirements, data quality standards, and architectural guidelines.


• Performance and Sca... (truncated)