Senior Data Engineer & Data Architect

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 ourclients' 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 inInformatica IICS,Snowflake, and cloud data platforms, along with strong experience in theinvestment/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 usingInformatica IICS.

• Build and optimize data solutions onSnowflake 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 indata engineering and data architecture roles.

• Strong expertise inInformatica IICS (Data Integration, Data Quality, Application Integration).

• Hands-on experience withSnowflake (data warehousing, optimization, performance tuning).

• Strong knowledge ofdata modelling (dimensional, normalized, and enterprise models).

• Experience incloud platforms.

• Advanced SQL skills and experience with large-scale data processing.

• Proven experience designingend-to-end data solutions.

Domain Expertise

• Experience ininvestment management, asset management, or financial services.

• Understanding offinancial 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 toPower BI or similar analytics tools.

• Knowledge ofdata governance and data catalog tools.