Senior Data Engineer & Data Architect - CodeByte

taraki-search; Islamabad; Hybrid; PKR 2,500,000 - 4,200,000; Full time

Job summary

CodeByte in Islamabad seeks a seasoned Senior Data Engineer & Data Architect to lead the design and delivery of scalable, enterprise-grade data platforms, blending hands-on engineering with strategic data architecture.

The role focuses on Informatica IICS, Snowflake, and cloud data platforms, with strong collaboration with finance, investments, and operations teams to define data strategies and deliver high-quality, reliable data solutions.

Qualifications

• 5+ years in data engineering and data architecture roles.
• Deep expertise with Informatica IICS and Snowflake.
• Experience with cloud data platforms and data governance.
• Industry experience in finance/investment services is a plus.

Responsibilities

• Define and implement enterprise data architecture aligned with business and investment strategies.
• Develop and maintain ETL/ELT pipelines using Informatica IICS.
• Build data solutions on Snowflake for performance and scalability.
• Collaborate with BI/analytics teams to enable reporting and insights.
• Provide technical leadership and mentor engineering teams.

Skills

Data Engineering

Data Architecture

ETL/ELT

SQL

Informatica IICS

Snowflake

Cloud Platforms

Data Modeling

Leadership

Stakeholder Management

Tools

Informatica IICS

Snowflake

Power BI

Job description

Our clientCodeByteis looking forSenior Data Engineer & Data ArchitectinIslamabad.

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.