Pay
Lower than most similar jobs
$130K–$150K 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.
Data Architect
Vienna, VA
Live, first seen by us 76 days ago- Pay
USD 130,000–150,000/year — pay source
Salary 130,000 – 150,000 USD per year SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity—regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.
Read the full posting- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
Before you apply
- Work authorization
- US citizens only
US citizenship is required for this position under applicable federal contract requirements
What you’ll work on
Full postingDesign and implement scalable data architectures and data models
Develop, maintain, and optimize ETL/ELT pipelines from structured and unstructured sources
Build and maintain cloud-based data platforms and data warehouses
Implement and maintain data governance, security, and data quality standards
Monitor and optimize database and data platform performance
From the employer’s posting
Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs.
Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources.
Build and maintain cloud-based data platforms, data warehouses, and related infrastructure.
Implement and maintain data governance, security, data quality, and integrity standards across data environments.
Monitor and optimize database and data platform performance, scalability, reliability, and availability.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Systems Engineering, Data Science, or a related field.
- 3+ years of experience in data architecture, with demonstrated ownership of enterprise data warehouse design.
- Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git.
- Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive.
- Experience developing and automating large-scale data environments.
Preferred experience
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP.
- Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi.
- Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments.
Qualification wording
Bachelor’s degree in Computer Science, Systems Engineering, Data Science, or a related field.
3+ years of experience in data architecture, with demonstrated ownership of enterprise data warehouse design.
Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git.
Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive.
Experience developing and automating large-scale data environments.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP.
Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi.
Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments.
Education & alternatives
- Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role, including a Public Trust clearance; an active Secret or Top Secret clearance also satisfies this requirement. - Bachelor’s degree in Computer Science, Systems Engineering, Data Science, or a related field. - 3+ years of experience in data architecture, with demonstrated ownership of enterprise data warehouse design.
Benefits in the posting
Full benefits wording- Health insurance
- Dental insurance
- Vision insurance
- Life Insurance
- 401(k) Retirement Plan with matching
- Paid Time Off
- Paid Federal Holidays
- SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility.
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 20, 202676 days ago
- Recorded sightings
- 40
- 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
Time since we first saw it
Day 76
Up longer than most. Similar jobs usually come down between day 7 and day 53.
From 7,803 similar postings that came down. Coming down is not always a hire.
Steerbridge is hiring
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 6% of open jobs were reposted
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.
- Python
- SQL
- AWS
- Azure
- BigQuery
- Databricks
- GCP
- Hive
- Kafka
- Redshift
- Spark
- Airflow
- NumPy
- pandas
- PySpark
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
- 3+ years of experience in data architecture, with demonstrated ownership of enterprise data warehouse design. - Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git. - Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP. - Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi.
- Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git. - Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive. - Experience developing and automating large-scale data environments.
- Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP. - Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi. - Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments.
Preferred Qualifications - Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP.
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Applying through Lever
- No account needed: one form, and Lever reads your resume into the profile recruiters search.
Already applied? Track this application
Has Steerbridge posted this job before?
Yes. We’ve followed one other Data Architect job there since June 2026. It is still up.
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
SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success.
At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.
Position Overview
SteerBridge is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the Modern Disability Claims program. This role will focus on designing, building, and maintaining scalable data architectures that support claims intake, adjudication workflows, clinical and claims data integration, and performance analytics for the program.
The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems.Key Responsibilities
-
Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs.
-
Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources.
-
Build and maintain cloud-based data platforms, data warehouses, and related infrastructure.
-
Collaborate with data scientists, engineers, and stakeholders to develop data solutions supporting machine learning and advanced analytics initiatives.
-
Implement and maintain data governance, security, data quality, and integrity standards across data environments.
-
Monitor and optimize database and data platform performance, scalability, reliability, and availability.
-
Support data modernization initiatives, including migration and transformation of legacy data environments to modern cloud-based architectures.
Required Qualifications
-
Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role, including a Public Trust clearance; an active Secret or Top Secret clearance also satisfies this requirement.
-
Bachelor’s degree in Computer Science, Systems Engineering, Data Science, or a related field.
-
3+ years of experience in data architecture, with demonstrated ownership of enterprise data warehouse design.
-
Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git.
-
Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive.
-
Experience developing and automating large-scale data environments.
Preferred Qualifications
-
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
-
Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP.
-
Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi.
-
Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments.
-
Knowledge of data governance, security, compliance, CI/CD pipelines, and software development best practices.
-
Experience supporting defense, healthcare, benefits administration, or other mission-critical federal programs.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Life Insurance
- 401(k) Retirement Plan with matching
- Paid Time Off
- Paid Federal Holidays
The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate’s relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer.
SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility.
Salary
130,000 – 150,000 USD per year
SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity—regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.
We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.
SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity—regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.
We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.
Employment type
Full-time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 130,000 – 150,000 USD per year SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity—regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.
- Location & working pattern
Vienna, VA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Required Qualifications - Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role, including a Public Trust clearance; an active Secret or Top Secret clearance also satisfies this requirement. - Bachelor’s degree in Computer Science, Systems Engineering, Data Science, or a related field.