Data Architect – Cloud & ETL expert (TS/SCI+Poly)

teampointblank; McLean (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

teampointblank is seeking a Data Architect to support a distributed team working on data acquisition, exploitation and management tasks. The role requires collaboration across contractor teams, Customer staff and external stakeholders to deliver complex data solutions.

The ideal candidate will demonstrate strong experience with cloud infrastructure, AWS, Hadoop ecosystems, Spark and NoSQL/SQL data stores, plus proficiency in Python and ETL pipeline development.

Qualifications

• Experience with cloud infrastructure and data management.
• Experience with Windows, Linux and MacOS.
• Experience with AWS cloud environments.
• Experience with development environments including AWS, Hadoop/HDFS, Cloudera, Spark, Presto, SQL and NoSQL.
• Experience conducting data processing activities.
• Experience working with Python.
• Experience building ETL pipelines.
• Experience integrating data flows with industry standard systems such as Niagara Falls.
• Ability to work independently in a fast-paced environment and solve problems proactively.
• Experience communicating clearly to technical and non-technical audiences.

Responsibilities

• Support data acquisition, exploitation, engineering and management tasks.
• Communicate and collaborate across organizational boundaries with contractor teams, Customer staff and external stakeholders.
• Work independently in a fast-paced environment and proactively solve problems.

Skills

Cloud infrastructure

Cross-OS experience

Python

ETL pipelines

Data management

Communication

Tools

Hadoop/HDFS

Cloudera

Spark

Presto

SQL

NoSQL

Niagara Falls

Neo4J

Job description

teampointblank is seeking a Data Architect to support a distributed team working on data acquisition, exploitation and management tasks. The role requires collaboration across contractor teams, Customer staff and external stakeholders to deliver complex data solutions.

The ideal candidate will demonstrate strong experience with cloud infrastructure, AWS, Hadoop ecosystems, Spark and NoSQL/SQL data stores, plus proficiency in Python and ETL pipeline development.