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Data Solution Architect

Pay
$140,000–180,000/yearAnnual period assumed — pay source
About steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $180,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here. Identity Statement
Read the full posting
Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Design greenfield data solution stacks in the cloud or on premises

  • Architect migrations of legacy data environments for performance and reliability

  • Design ETL jobs, data pipelines, and workflows

  • Design reports, select BI tools, and build dashboards

  • Design machine learning and AI applications and MLOps pipelines

From the employer’s posting
Designing greenfield data solution stacks in the cloud or on premises
Architecting migration of legacy data environments with performance and reliability
Data Engineering contributions include assessing, understanding, and designing ETL jobs, data pipelines, and workflows
designing reports, selecting BI tools, creating dynamic dashboards
designing machine learning and AI applications, designing MLOps pipelines

What you’ll bring

All qualifications

Core experience

  • 5+ years direct experience in data solutions
  • 5+ years industry experience coding commercial software
  • Ability to hold a public trust position with the US government
  • Experience architecting transactional and warehouse data systems
  • Advanced SQL and experience with data modeling tools
Qualification wording
5+ years direct experience in Data Solutions
5+ years industry experience coding commercial software
Ability to hold a position of public trust with the US government.
Experience architecting data systems (transactional and warehouses)
Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL)

About Steampunk

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience.

In the employer’s words · Read in context

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Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 1, 20262 days ago
Recorded sightings
4
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$140K–$180K against $154K–$225K, the middle half of what similar US postings state.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 7 and day 53.

From 7,804 similar postings that came down. Coming down is not always a hire.

Steampunk is hiring

51 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring has slowed
  • Takes jobs down at a usual pace
  • 2% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C++
  • Java
  • Python
  • R
  • Scala
  • SQL
  • AWS
  • Azure
  • Databricks
  • GCP
  • Hadoop
  • Kafka
  • MySQL
  • NoSQL
  • Oracle
  • Redshift
  • SageMaker
  • Spark
  • SQL Server
  • Airflow
  • PostgreSQL
  • Elasticsearch
Where the posting names them
- Search tools: Solr, Lucene, Elasticsearch - Object-oriented/scripting languages: Python, Java, C++, Scala, etc. - Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
- Data streaming systems: Storm, Spark-Streaming, etc. - Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. - Search tools: Solr, Lucene, Elasticsearch
- Big data tools: Hadoop, Spark, Kafka, etc. - Relational SQL and NoSQL databases, such as Postgres, MySQL, MS SQL Server, Oracle, Mongo, etc. - Data pipeline and workflow management tools: Airflow, NiFi, etc.
- Object-oriented/scripting languages: Python, Java, C++, Scala, etc. - Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases. - Experience with DBOps and MLOps frameworks and exposure/understanding of DevOps
- Addressing technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products - Experience in crafting data lakehouse solutions in the cloud (Preferably AWS. Alternatively, Azure, GCP). This includes relational databases, data warehouses, data lakes, and distributed data systems. - Key must have skill sets – broad understanding of data exploitation lifecycle and capabilities
- Data pipeline and workflow management tools: Airflow, NiFi, etc. - AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents) - Data streaming systems: Storm, Spark-Streaming, etc.
- 5+ years direct experience in Data Solutions with experience in tools such as: - Big data tools: Hadoop, Spark, Kafka, etc. - Relational SQL and NoSQL databases, such as Postgres, MySQL, MS SQL Server, Oracle, Mongo, etc.
- Relational SQL and NoSQL databases, such as Postgres, MySQL, MS SQL Server, Oracle, Mongo, etc. - Data pipeline and workflow management tools: Airflow, NiFi, etc. - AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents)
- Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. - Search tools: Solr, Lucene, Elasticsearch - Object-oriented/scripting languages: Python, Java, C++, Scala, etc.

Your next step

Complete your application on careers-steampunk.icims.com. The employer’s form will show what is required.

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Has Steampunk posted this job before?

Yes. We’ve followed 2 other Data Solution Architect jobs there since August 2026. All 2 are still up.

  1. McleanStill up after 71 days, first seen Aug 25
  2. McleanStill up after 68 days, first seen Aug 28
  3. This jobUp 3 days so far, first seen Nov 1

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Overview

We are looking for seasoned Data Solution Architect to work with our team and our clients to develop enterprise grade data platforms, services, pipelines, data models, visualizations, and more! The Data Solution Architect needs to be a technologist with excellent communication and customer service skills and a passion for data and problem solving. This role spans the spectrum of data capabilities, from data vision and strategy all the way through data science. 

Contributions

  • Designing greenfield data solution stacks in the cloud or on premises, using the latest data services, products, technology, and industry best practices 
  • Architecting migration of legacy data environments with performance and reliability
  • Data Architecture contributions include assessing and understanding data sources, data models and schemas, and data workflows
  • Data Engineering contributions include assessing, understanding, and designing ETL jobs, data pipelines, and workflows
  • BI and Data Visualization contributions include assessing, understanding, and designing reports, selecting BI tools, creating dynamic dashboards, and setting up data pipelines in support of dashboards and reports
  • Data Science contributions include assessing, understanding, and designing machine learning and AI applications, designing MLOps pipelines, and supporting data scientists
  • Addressing technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
  • Experience in crafting data lakehouse solutions in the cloud (Preferably AWS. Alternatively, Azure, GCP). This includes relational databases, data warehouses, data lakes, and distributed data systems.
  • Key must have skill sets – broad understanding of data exploitation lifecycle and capabilities
  • Support an Agile software development lifecycle
  • You will contribute to the growth of our Data Exploitation Practice! 

Qualifications

 

  • Ability to hold a position of public trust with the US government. 
  • 5+ years industry experience coding commercial software and a passion for solving complex problems.  
  • 5+ years direct experience in Data Solutions with experience in tools such as: 
  • Big data tools: Hadoop, Spark, Kafka, etc. 
  • Relational SQL and NoSQL databases, such as Postgres, MySQL, MS SQL Server, Oracle, Mongo, etc. 
  • Data pipeline and workflow management tools: Airflow, NiFi, etc. 
  • AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents) 
  • Data streaming systems: Storm, Spark-Streaming, etc. 
  • Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. 
  • Search tools: Solr, Lucene, Elasticsearch 
  • Object-oriented/scripting languages: Python, Java, C++, Scala, etc. 
  • Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases. 
  • Experience with DBOps and MLOps frameworks and exposure/understanding of DevOps 
  • Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores. 
  • Experience manipulating, processing, and extracting value from large, disconnected datasets. 
  • Experience manipulating structured and unstructured data for analysis 
  • Experience constructing complex queries to analyze results using databases or in a data processing development environment 
  • Experience with data modeling tools and process 
  • Experience architecting data systems (transactional and warehouses) 
  • Experience aggregating results and/or compiling information for reporting from multiple datasets 
  • Experience working in an Agile environment  
  • Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models 

About steampunk

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $180,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here. 

 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

 

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors.  Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.  If you want to learn more about our story, visit http://www.steampunk.com.

 

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program. 

Source details

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Pay
About steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $180,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here. Identity Statement
Location & working pattern

McLean, VA

Working pattern and location restrictions need checking in the full posting.

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