Description

Design and implement scalable data architectures that align with business and technical requirements.

This role is hybrid.

Responsibilities

• Develop and maintain data models, data warehouses, and data lakes.
• Standardize ETL/ELT processes with development teams to ensure accurate data flow.
• Translate stakeholder requirements into scalable architecture solutions.
• Enforce data governance, quality, security, and compliance standards.
• Monitor system performance and optimize processes for efficiency.

Required Skills

• 5+ years of experience in data architecture, data engineering, or related roles.
• Strong expertise in data modeling and database technologies.
• Proficiency in designing and implementing ETL pipelines.
• Hands-on experience with Data Architecture, Data Engineering, and Data Management.
• Experience with data visualization tools such as Tableau or Power BI.
• Knowledge of data governance and privacy regulations.
• Bachelor's or Master's degree in Computer Science, IT, Data Science, or a related field.

Preferred Skills

• Familiarity with investment management platforms, reference data, and vendor landscapes.

Key Skills

Education

Bachelor's or Master's degrees