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
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Define and implement enterprise data architecture aligned with business and investment strategies.
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Design scalable, secure, and high-performance data models and frameworks.
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Establish data governance, standards, and best practices across the organization.
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Lead data platform modernization and cloud adoption initiatives.
Data Engineering
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Develop and maintain robust ETL/ELT pipelines using Informatica IICS.
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Build and optimize data solutions on Snowflake for performance and scalability.
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Ensure data quality, integrity, and reliability across pipelines.
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Handle large-scale structured and unstructured data efficiently.
Stakeholder & Delivery Management
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Engage with business users (finance, investment, and operations teams) to gather and refine requirements.
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Translate business needs into scalable technical solutions and data models.
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Collaborate with BI and analytics teams to enable reporting and insights.
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Provide technical leadership and mentor engineering teams.
Required Skills & Qualifications
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15+ years of experience in data engineering and data architecture roles.
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Strong expertise in Informatica IICS (Data Integration, Data Quality, Application Integration).
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Hands-on experience with Snowflake (data warehousing, optimization, performance tuning).
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Strong knowledge of data modelling (dimensional, normalized, and enterprise models).
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Experience in cloud platforms.
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Advanced SQL skills and experience with large-scale data processing.
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Proven experience designing end-to-end data solutions.
Domain Expertise
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Experience in investment management, asset management, or financial services.
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Understanding of financial data, portfolio analytics, and reporting frameworks.
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Familiarity with regulatory and compliance standards in financial environments.
Soft Skills
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Excellent communication and stakeholder management skills.
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Ability to bridge the gap between business and technology teams.
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Strong leadership, ownership, and mentoring capabilities.
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Strategic thinker with hands-on execution ability.
Preferred Qualifications
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Exposure to Power BI or similar analytics tools.
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Knowledge of data governance and data catalog tools.
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