Description

Lead the design and implementation of large-scale cloud data initiatives and infrastructure. You will architect end-to-end data lake solutions, manage integrations between on-premises and cloud systems, and define governance standards.

Responsibilities

• Design and implement end-to-end cloud data lake architectures, including ingestion, modeling, and distribution.
• Build data integrations between on-premises and cloud-based systems.
• Develop high-volume data ingestion components and ETL solutions.
• Administer cloud data strategy, security, data models, and data marts.
• Lead strategic planning and design sessions with technical and business stakeholders.

Required Skills

• 5+ years of experience in architecture and design of Cloud Data Platforms.
• Hands-on experience with Cloud Data lake technologies and complex data modeling.
• Proficiency in Python, Java, and SQL.
• Experience with Amazon Web Services (AWS) and Azure Blob/AWS S3.
• Experience with Databricks, Apache Spark, and Snowflake.
• Knowledge of designing architectures for large volume data streams.
• Experience in application design, development, and architecture reviews.
• Experience with agile data and development engineering methods.
• Experience in the Finance or Capital Markets domain.

Preferred Skills

• Experience in data virtualization.

Key Skills

Education

Any Graduate