Quant Systems - Charlotte, NC

posted 2 months ago

Full-time
Charlotte, NC
Professional, Scientific, and Technical Services

About the position

The Data Architect role is a critical position focused on designing and implementing data solutions for large-scale data migration projects, specifically transitioning from on-premises systems to cloud environments. This position requires a deep understanding of data warehousing, data analytics, and the architecture of multi-layer lake house systems. The ideal candidate will be responsible for creating architecture artifacts that guide the development and deployment of data solutions, ensuring they meet the needs of the organization and its stakeholders. In this role, you will leverage your expertise in various tools and technologies, including Netezza, Snowflake, and Talend, to build robust data pipelines and facilitate effective data mapping. You will also be expected to design solutions that utilize AWS cloud architecture, including services like Lambda, to enhance data processing capabilities. Strong proficiency in SQL and Python is essential, as these languages will be used extensively for data manipulation and analysis. As a Data Architect, you will collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. You will also play a key role in ensuring data quality, security, and compliance throughout the data lifecycle. This position is hybrid, allowing for a combination of remote work and on-site presence in Charlotte, NC, and is offered as a long-term contract opportunity.

Responsibilities

  • Design and implement data solutions for large-scale data migration projects.
  • Create architecture artifacts for data warehousing and analytics.
  • Develop multi-layer lake house architectures.
  • Utilize Netezza, Snowflake, and Talend for data processing and management.
  • Perform data mapping and ensure data quality throughout the migration process.
  • Leverage AWS cloud architecture, including Lambda, for data solutions.
  • Collaborate with cross-functional teams to gather and analyze business requirements.
  • Translate business needs into technical specifications for data solutions.

Requirements

  • Experience in building solutions and architecture artifacts for data migration projects.
  • Strong knowledge of data warehousing and data analytics.
  • Proficiency in Netezza, Snowflake, and Talend.
  • Experience with AWS cloud architecture and services, particularly Lambda.
  • Strong SQL skills for data manipulation and querying.
  • Proficiency in Python for data processing and analysis.
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