Senior Data Architect — Cloud, ETL & Big Data

RCT Systems; McLean (VA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Immediate 401k vesting

Generous PTO and flexible schedules

$500.00 annual technology allowance

Job summary

RCT Systems is seeking a senior-level Data Architect/SME to support a mission-focused program spanning data acquisition, engineering, and management. The role collaborates across data engineering, software engineering, security, DevOps, application development, data science, and program management teams.

Key responsibilities include designing cloud-based data infrastructure, building ETL pipelines, and working with AWS, Hadoop/HDFS, Cloudera, Spark, Presto, SQL, and NoSQL.

Qualifications

• TS/SCI with polygraph clearance required.
• Experience with AWS and cloud data platforms.
• Experience building ETL pipelines and data processing.
• Proficiency with SQL/NoSQL databases and big-data tools.

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.
• Collaborate with 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

AWS

TS/SCI with polygraph

Windows

Linux

macOS

Python

ETL pipelines

Hadoop

Spark

Presto

Cloudera

SQL

NoSQL

Data engineering

Communication

Job description

RCT Systems is seeking a senior-level Data Architect/SME to support a mission-focused program spanning data acquisition, engineering, and management. The role collaborates across data engineering, software engineering, security, DevOps, application development, data science, and program management teams.

Key responsibilities include designing cloud-based data infrastructure, building ETL pipelines, and working with AWS, Hadoop/HDFS, Cloudera, Spark, Presto, SQL, and NoSQL.