Description

You will lead the design and implementation of large-scale cloud data initiatives and end-to-end data lake architectures.

This role is on-site.

Responsibilities

• Design and implement end-to-end cloud data lake architectures, including data ingestion, modeling, and distribution.
• Build data integrations between on-premises and cloud-based systems.
• Develop high-volume data ingestion components and ETL solutions to collect data from diverse sources.
• Lead strategic planning, tactical design sessions, and whiteboard sessions with stakeholders and engineering teams.
• Administer cloud data strategy, security, data models, and infrastructure performance.

Required Skills

• 5+ years of experience in architecture and design of Cloud Data Platforms.
• Hands-on experience with Amazon Web Services (AWS) and Databricks.
• Proficiency in Python, Java, and SQL.
• Experience designing architectures for large-volume data streams and component services.
• Proven track record building data ingestion, data catalog, and data analytics frameworks.
• Experience in application design, development, and architecture review.
• Experience working with agile data and development engineering methods.
• Bachelor’s Degree in Computer Science, Computer Engineering, or an equivalent field.
• Background in the Finance or Capital Markets domain.

Preferred Skills

• Experience in data virtualization.

Key Skills

Education

Any Graduate