Senior Data Architect — TS/SCI Clearance

Rct Systems, Inc.; McLean (VA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision

Life insurance

Immediate 401k vesting

Generous PTO

Technology allowance

Job summary

RCT Systems, Inc. in McLean, Virginia seeks a senior-level Data Architect/SME to support a mission-focused program covering data acquisition, exploitation, engineering, and management.

You will design cloud-based data infrastructure, build ETL pipelines, work across AWS, Hadoop/HDFS, Cloudera, Spark and SQL/NoSQL, and collaborate with diverse teams while communicating complex concepts to both technical and non-technical stakeholders.

Qualifications

• Experience with cloud infrastructure and data management on AWS.
• TS/SCI with polygraph clearance.
• Proficiency in Python and ETL pipeline development.
• Experience with big-data tools (HDFS/Cloudera/Spark/Presto) and SQL/NoSQL.

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

Strong communication & collaboration

Python

ETL pipelines

AWS

Data engineering

SQL

NoSQL

Multi-OS (Windows/Linux/macOS)

Big data technologies (HDFS/Cloudera/S

Tools

Hadoop/HDFS

Cloudera

Spark

Presto

Niagara Falls

Neo4j

Job description

RCT Systems, Inc. in McLean, Virginia seeks a senior-level Data Architect/SME to support a mission-focused program covering data acquisition, exploitation, engineering, and management.

You will design cloud-based data infrastructure, build ETL pipelines, work across AWS, Hadoop/HDFS, Cloudera, Spark and SQL/NoSQL, and collaborate with diverse teams while communicating complex concepts to both technical and non-technical stakeholders.