Cloud Data Architect - AWS, ETL, Python, Security Clearance

Avalore, LLC; Chantilly; Presencial; EUR 90 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health care plan

Retirement plan

Life insurance

Paid time off

Disability coverage

Training & development

Employee assistance program

Resumo da oferta

Avalore is seeking a Data Architect to design and implement data architectures across several cloud-based applications. The role involves building ETL pipelines, integrating data flows with standard systems, and ensuring performance and security in diverse OS and cloud environments.

Ideal candidates will have strong Python skills, experience with AWS, Hadoop ecosystems, and NoSQL/SQL data stores, with clear communication for technical and non-technical audiences. Travel up to 10% may be required.

Qualificações

• Active security clearance with polygraph.
• Cloud infrastructure and data management experience.
• Experience with Windows, Linux, and MacOS.
• Experience with AWS and cloud environments.
• Proficiency with AWS, Hadoop HDFS, Cloudera, Spark, Presto, SQL and NoSQL.
• Experience building ETL pipelines and data integration.
• Python programming and data processing.
• Clear communication to technical and non-technical audiences.

Responsabilidades

• Data Architect will support requirements for new system capabilities and enhancements for multiple applications in the cloud.
• Collaborate with teams to design and implement data architectures that meet performance and security needs.
• Ensure data flows are integrated with standard industry systems and support data processing activities.

Conhecimentos

Security clearance

Cloud infrastructure

Data management

Operating systems

AWS

HDFS/Big data

Spark/Presto

SQL/NoSQL

Python

ETL pipelines

Data integration

Communication

Ferramentas

Neo4j

Descrição da oferta de emprego

Avalore is seeking a Data Architect to design and implement data architectures across several cloud-based applications. The role involves building ETL pipelines, integrating data flows with standard systems, and ensuring performance and security in diverse OS and cloud environments.

Ideal candidates will have strong Python skills, experience with AWS, Hadoop ecosystems, and NoSQL/SQL data stores, with clear communication for technical and non-technical audiences. Travel up to 10% may be required.