Data Architect responsible for designing and maintaining data architecture at Uriage & Apivita. Leading data management efforts to support analytics and ensure high - quality data flows across systems.
About the role
- Data Engineer Intern building and maintaining data pipelines for AI-driven financial insights. Opportunity to work at forefront of technology in a collaborative start-up environment.
Responsibilities
- Build efficient data pipelines for financial data flows whilst ensuring data and analytics are leveraged for future growth.
- Monitor data movement, transformation logic and performance of all pipelines as required to maintain data integrity and quality supplied to ML processes.
- Designing and implementing data solutions for new data and servicing initiatives and providing continuous oversight for existing solutions to maintain data accuracy, service quality and solution performance.
Requirements
- Undergraduate (junior/senior preferred) or graduate students in Computer Science, Data Science, or a related field.
- Experience designing, building, and maintaining data pipelines for large-scale data solutions.
- Proficiency in Python, pandas and data science libraries plus solid SQL skills for querying and manipulating large datasets. Experience with PostgreSQL is preferred.
- Ability to design scalable, secure data models and implement best practices for data storage and retrieval.
- Familiarity with AI for coding, machine learning applications and approaches to maintain high-quality, compliant data for AI-driven use cases. Experience with data unit testing is preferred.
- Good communication skills to collaborate with cross-functional teams - including data scientists, AI engineers, and business stakeholders - to deliver secure, high-performing data solutions.
- Experience with unstructured data processing is a plus.
- Experience with Azure cloud services is a plus.
Benefits
- Compensation: $20-30 per hour
- Hybrid working: three days per week in our Manhattan office.
- An opportunity to work at the forefront of AI-driven finance, tackling genuinely complex and high-impact challenges.
- Hands-on exposure to advanced ML, LLM, and data technologies within real production systems.
- A collaborative, high-ownership start-up environment offering exceptional learning opportunities.
- The chance to help shape the future of Family Office and Asset Management technology.
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