Senior Data Engineer & Data Architect
At a glance
Senior Data Engineering role at TechBiz Global GmbH. Remote, Pakistan · full-time.
Pay not stated Data Architect salary
dataroles summary, based on the employer's posting.
What you'll do
- Set enterprise data architecture around business and investment goals, including models, standards and governance practices
- Lead cloud adoption and platform upgrades while designing secure, scalable data structures
- Build and tune Informatica IICS pipelines and Snowflake solutions, keeping data accurate and dependable
- Turn finance, investment and operations requirements into technical designs with BI and analytics teams
- Guide engineering teams and mentor colleagues while delivering end-to-end data solutions
What you bring
- At least fifteen years in data engineering and architecture roles
- Strong Informatica IICS capability across integration, data quality and application integration
- Hands-on Snowflake experience, including warehouse optimization and performance tuning
- Advanced SQL, cloud platform experience, data modeling skills and large-scale processing background
- Experience in investment or financial services, including financial data, portfolio analysis and reporting
Who this fits
This senior role suits someone who can combine hands-on engineering with architecture decisions and lead or mentor technical teams. You’ll work with business stakeholders across finance, investment and operations. The role is remote in Islamabad, Pakistan.
From the employer
At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Data Engineer Data Architect to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
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
15+ 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.
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