Description

Job 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 Amazon Web Services (AWS) and Databricks.
  • 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.

Educational Requirements:

  • Bachelor’s Degree in a Computer Science, Computer Engineering or equivalent field.

Education

Any Graduate