Senior Data Architect — Cloud, ETL & Big Data

RCT Systems

McLean (VA)

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Benefits offered by this job

Medical, dental, vision
Life insurance
401k vesting
Generous PTO
Technology allowance

Job summary

RCT Systems is seeking a senior Data Architect/SME to lead architecture and execution of data acquisition, processing, and management in a mission-focused program from McLean, VA. The role spans data engineering, software, security, DevOps, and data science teams to deliver integrated data solutions.

Responsibilities include building cloud-based data infrastructure, executing ETL pipelines, and enabling cross-team collaboration.

Qualifications

  • Cloud data architecture and management experience with AWS.
  • Experience building and operating ETL pipelines and data engines.
  • Hands-on data processing using big-data tools such as Spark, Hadoop, Cloudera.
  • Strong data-flow integration and cross-team collaboration across multiple domains.
  • Proficiency in communicating complex concepts to technical and non-technical audiences.

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

AWS
Python
SQL
NoSQL
ETL
Spark
Hadoop
Cloudera
Data Engineering

Tools

Niagara Falls

Job description

RCT Systems is seeking a senior Data Architect/SME to lead architecture and execution of data acquisition, processing, and management in a mission-focused program from McLean, VA. The role spans data engineering, software, security, DevOps, and data science teams to deliver integrated data solutions.

Responsibilities include building cloud-based data infrastructure, executing ETL pipelines, and enabling cross-team collaboration.

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