Senior Data Architect: Cloud Data & ETL Leader (TS/SCI)

Rct Systems, Inc.; McLean (VA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Immediate 401k vesting

Generous PTO and flexible schedules

$500.00 annual technology allowance

Job summary

RCT Systems, Inc. seeks a Senior Data Architect/SME to support a customer mission focused on data acquisition, exploitation, engineering, and management.

The role collaborates across data engineering, software engineering, security, DevOps, application development, data science, and program management teams. Responsibilities include designing cloud-based data infrastructure, building ETL pipelines, and working with AWS, Hadoop/HDFS, Cloudera, Spark, and Presto.

Qualifications

• Experience with cloud infrastructure and data management, particularly AWS.
• TS/SCI with polygraph.
• Multiple OS: Windows, Linux, and macOS.
• Data engineering and processing.
• Proficiency in Python.
• Building and executing ETL pipelines.
• Big-data technologies such as W/HDFS, Cloudera, Spark, and Presto.
• SQL and NoSQL databases.
• Data-flow integration and mission-oriented data systems.
• Strong communication and collaboration skills.

Responsibilities

• Design and support cloud-based data infrastructure and data management solutions.
• Build and execute ETL/data processing pipelines.
• Work across AWS, Hadoop/HDFS, Cloudera, Spark, Presto, SQL, and NoSQL environments.
• Integrate data flows with industry-standard systems, including Niagara Falls.
• Collaborate across contractor teams, customer personnel, and external stakeholders.
• Communicate technical concepts clearly to both technical and non-technical audiences.
• Work independently and proactively solve problems in a fast-paced environment.

Skills

Data engineering

ETL development

Data processing

Big data

Tools

AWS

Hadoop/HDFS

Cloudera

Spark

Presto

SQL

NoSQL

Job description

RCT Systems, Inc. seeks a Senior Data Architect/SME to support a customer mission focused on data acquisition, exploitation, engineering, and management.

The role collaborates across data engineering, software engineering, security, DevOps, application development, data science, and program management teams. Responsibilities include designing cloud-based data infrastructure, building ETL pipelines, and working with AWS, Hadoop/HDFS, Cloudera, Spark, and Presto.