Senior Data Engineer & Data Architect - CodeByte

Taraki; Islamabad; On-site; PKR 2,500,000 - 4,500,000; Full time

Job summary

CodeByte is seeking a Senior Data Engineer & Data Architect to lead the design and delivery of scalable, enterprise-grade data platforms in a hybrid environment.

The role blends hands-on data engineering with strategic data architecture, supporting advanced analytics and investment decision-making. Ideal candidates will have deep expertise in Informatica IICS, Snowflake, cloud platforms, and financial services data, with strong stakeholder leadership.

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.
• 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.
• 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.
• Exposure to Power BI or similar analytics tools.
• Knowledge of data governance and data catalog tools.

Responsibilities

• 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.
• 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.
• Engage with business users 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.

Skills

Data architecture

Cloud platforms

SQL

Leadership

Stakeholder management

Data modeling

Tools

Informatica IICS

Snowflake

Job description

About the job Senior Data Engineer & Data Architect - CodeByte

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

• 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.
• 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.

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.