Senior Data Architecture & Modeling Solutions Architect

NCR Atleos; Islamabad; On-site; PKR 1,800,000 - 3,200,000; Full time

Job summary

NCR Atleos is seeking a Solutions Architect / Data Modeler to design, develop, and maintain scalable data solutions supporting enterprise applications, data warehouses, analytics, reporting, and integration platforms. The role emphasizes translating business and technical requirements into robust data architectures and models with emphasis on data quality, governance, and performance.

The successful candidate will collaborate with data architects, engineers, and stakeholders to ensure data

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Management, or a related field.
• 5+ years of experience in Data Modeling, Data Architecture, Data Warehousing, or related data-focused roles, preferably within large enterprise environments.
• Strong experience in developing Conceptual, Logical, and Physical Data Models, with the ability to translate business and technical requirements into scalable data structures.
• Strong knowledge of relational databases, SQL, normalization, denormalization, keys, relationships, constraints, and dimensional modeling.
• Hands-on experience with Data Warehousing, OLTP/OLAP architectures, ETL/ELT processes, data integration, and source-to-target mapping.
• Experience with data modeling and design tools such as Erwin, ER/Studio, datavault, or equivalent enterprise modeling tools.
• Good understanding of data governance, data quality, metadata management, data lineage, data standards, and data architecture principles.

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 Scalability: Review and optimize logical and physical data models to ensure efficient query performance, scalability, maintainability, and effective utilization of data platforms.
• Collaboration with Stakeholders: Work closely with Data Architects, Solution Architects, Data Engineers, Developers, Business Analysts, and business stakeholders to understand requirements, define data models, and deliver solutions aligned with enterprise objectives.
• Technical Documentation and Guidance: Document data models, design decisions, data definitions, and technical recommendations, and provide guidance to development and implementation teams on data modeling and architecture best practices.

Skills

Data modeling

Data architecture

Data warehousing

ETL/ELT

SQL

Dimensional modeling

Data governance

Metadata management

Data quality

Data lineage

Erwin

ER/Studio

Datavault

Documentation

Education

Bachelor's degree

Master's degree

Tools

Erwin

ER/Studio

Datavault

Job description

NCR Atleos is seeking a Solutions Architect / Data Modeler to design, develop, and maintain scalable data solutions supporting enterprise applications, data warehouses, analytics, reporting, and integration platforms. The role emphasizes translating business and technical requirements into robust data architectures and models with emphasis on data quality, governance, and performance.

The successful candidate will collaborate with data architects, engineers, and stakeholders to ensure data