Description

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

Responsibilities

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

Required Skills

• 5+ years of experience in data architecture, data engineering, or related roles.
• Strong expertise in database technologies and data modeling.
• Proficiency in designing and implementing ETL/ELT pipelines and data integration tools.
• Hands-on experience with ETL / ELT Processes and NoSQL.
• Knowledge of data governance, data privacy regulations, and data management best practices.
• Experience with data visualization and BI tools such as Tableau and Power BI.
• Degree in Computer Science, Information Technology, Data Science, or a related field.

Preferred Skills

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

Key Skills

Education

Any Graduate