Description

You will design, build, and manage the organization's data architecture to ensure efficient storage, processing, and analysis of large data volumes.

This role is hybrid.

Responsibilities

• Design and implement scalable data architectures, including data models, data warehouses, and data lakes.
• Standardize ETL/ELT processes with development teams to ensure accurate data flow across systems.
• Collaborate with stakeholders to translate business requirements into scalable architecture solutions.
• Enforce data governance, quality, security, and compliance standards across all data systems.
• Evaluate and recommend database technologies, including relational and NoSQL platforms, and optimize system performance.

Required Skills

• 5+ years of experience in data architecture, data engineering, or related roles.
• Expertise in database technologies and data modeling.
• Proficiency in designing and implementing ETL/ELT pipelines and data integration tools.
• Hands-on experience with NoSQL databases.
• Knowledge of data governance, privacy regulations, and data management best practices.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong analytical, troubleshooting, and problem-solving skills.
• 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

Any Graduate