Data Architect

$104,000 - $124,800/Yr

Laiba Technologies - Chicago, IL

posted about 1 month ago

Full-time
Chicago, IL

About the position

The Data Architect position in Chicago, IL is a contract role focused on designing and implementing data solutions within the finance domain. The role requires expertise in data modeling, data storage, and data transformation, particularly using AWS and Snowflake. The Data Architect will work closely with business teams to negotiate solutions and ensure adherence to data management and governance frameworks.

Responsibilities

  • Model data in Data Lake and Data Warehouse for analytical use cases.
  • Negotiate solutions with business teams and business analysts.
  • Architect and design data storage, transformation, security, quality, and performance optimization techniques in AWS and Snowflake.
  • Architect and solution data pipelines for batch, streaming, API, message queues, and real-time sources.
  • Work with structured, semi-structured, and unstructured data.
  • Create clear and impactful presentations based on the audience.
  • Ensure that data management and governance frameworks are in place and adhered to.
  • Architect data engineering pipelines including data acquisition, ingestion, management, processing, and publishing using various AWS services.
  • Develop and optimize database models to store and retrieve company information.
  • Determine strategic data requirements and create high-level designs according to these requirements.
  • Guide and resolve issues with AWS service configuration, performance, security compliance, data quality issues, and data retrieval.
  • Prepare architecture and high-level design documents for data engineering pipelines.
  • Design DevOps and DataOps pipelines and resolve issues during implementation and execution.
  • Research data acquisition opportunities.

Requirements

  • Experience in data modeling and architecture in the finance domain.
  • Proficiency in AWS services and Snowflake.
  • Ability to work with structured, semi-structured, and unstructured data.
  • Strong presentation skills to create impactful presentations for various audiences.
  • Experience in data management and governance frameworks.
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