Cloud Data Architect

Role Description:

We are seeking an experienced, hands-on, Cloud Data architect to join our Technology team to drive the design and implementation of large-scale Cloud data initiatives. The ideal candidate will have the necessary technology, communication and leadership skills to independently hands-on manage highly visible and complex projects from start to finish.

Main Duties and Responsibilities:

• Provide architectural leadership for technology solutions, data architectures, data lakes, cloud and infrastructure initiatives.
• End to end Cloud Data Lake architecture design & implementation including data ingestion, data modeling and data distribution.
• Build data integrations between on-prem/cloud-based systems.
• Design and develop high volume data ingestion components and ETL solutions to collect data from various sources.
• Recommend data governance processes, security standards, and models that will provide architectural guidelines to support the development initiatives.
• Drive strategic and tactical planning and design sessions and conduct whiteboard sessions with business users, technology management, data analysts, data engineers and development teams.
• Manage and use appropriate tools in the cloud data lake development and deployment.
• Administer the overall Cloud data strategy, architecture, security, definition of data models, data marts, evaluation of infrastructure components and performance.
• Drive decision-making processes to align with business priorities and objectives related to key architecture solutions.
• Responsible for developing/implementing cloud infrastructure to support current and future business needs.

Required Skills:

• Hands-on experience in architecture and design of Cloud Data Platforms.
• Significant experience with Cloud Data lake technologies and complex data architecture and models. Experience building and managing cloud data platforms.
• Working knowledge of designing architectures for large volume data streams and component services.
• Knowledge of and experience with Azure/Amazon Web Services (AWS), Azure Blob/AWS S3, Databricks, Apache Spark, Snowflake etc.
• Proficient at coding in Python/Java/SQL.
• Strong experience in building data ingestion, data catalog and data analytics framework.
• Strong experience in application design and development.
• Experience in data virtualization desired.
• Experience in design and architecture review.
• Experience in agile data and development engineering methods.
• Experience in Finance/Capital Markets domain.
• Strong communication and collaboration skills.