Our client CodeByte is looking for Senior Data Engineer & Data Architect in Islamabad. Job Summary We are looking for a seasoned Senior Data Engineer & Data Architect to lead the design and delivery of scalable, enterprise-grade data platforms. This hybrid role combines hands-on data engineering with strategic data architecture, supporting advanced analytics and investment decision-making. The ideal candidate will have deep expertise in Informatica IICS, Snowflake, and cloud data platforms, along with strong experience in the investment/financial services domain. The role requires active collaboration with business stakeholders to define data strategies and deliver high-quality solutions. Key Responsibilities Data Architecture - Define and implement enterprise data architecture aligned with business and investment strategies. - Design scalable, secure, and high-performance data models and frameworks. - Establish data governance, standards, and best practices across the organization. - Lead data platform modernization and cloud adoption initiatives. Data Engineering - Develop and maintain robust ETL/ELT pipelines using Informatica IICS. - Build and optimize data solutions on Snowflake for performance and scalability. - Ensure data quality, integrity, and reliability across pipelines. - Handle large-scale structured and unstructured data efficiently. Stakeholder & Delivery Management - Engage with business users (finance, investment, and operations teams) to gather and refine requirements. - Translate business needs into scalable technical solutions and data models. - Collaborate with BI and analytics teams to enable reporting and insights. - Provide technical leadership and mentor engineering teams. Required Skills & Qualifications - 5+ years of experience in data engineering and data architecture roles. - Strong expertise in Informatica IICS (Data Integration, Data Quality, Application Integration). - Hands-on experience with Snowflake (data warehousing, optimization, performance tuning). - Strong knowledge of data modelling (dimensional, normalized, and enterprise models). Experience in cloud platforms. - Advanced SQL skills and experience with large-scale data processing. - Proven experience designing end-to-end data solutions. Domain Expertise - Experience in investment management, asset management, or financial services. - Understanding of financial data, portfolio analytics, and reporting frameworks. - Familiarity with regulatory and compliance standards in financial environments. Soft Skills - Excellent communication and stakeholder management skills. - Ability to bridge the gap between business and technology teams. - Strong leadership, ownership, and mentoring capabilities. - Strategic thinker with hands-on execution ability. Preferred Qualifications - Exposure to Power BI or similar analytics tools. - Knowledge of data governance and data catalog tools.