Principal Data Architect & Technical Product Owner

Vienna, VA

Actively hiring, first seen by us 4 days ago

Pay: USD 170,000–190,000/year — pay source
Salary 170,000 – 190,000 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: Not stated
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 onlyUS citizenship and ability to obtain a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement)

What you’ll work on

Full posting

Own target-state architecture for claims, clinical, and healthcare data
Prioritize and maintain the technical product backlog with mission stakeholders
Own product decisions and sprint delivery outcomes for data engineering Scrum teams
Design scalable batch and real-time ETL/ELT pipelines with data quality controls
Coach engineers and junior architects in delivery and architecture standards

From the employer’s posting

Own the target-state architecture for claims, clinical, and healthcare data

Independently prioritize and maintain the technical product backlog

Own product decisions and sprint delivery outcomes for data engineering Scrum teams

Design scalable batch and real-time ETL/ELT pipelines, schema evolution, data quality controls

Coach engineers, junior architects, and Scrum team members in technical delivery

What you’ll bring

All qualifications

Core experience

Bachelor’s degree or higher in Computer Science, Systems Engineering, Data Science, or a related field.
Demonstrated experience improving Agile/Scrum team maturity through hands-on product ownership, coaching, mentorship, and implementation of effective backlog management, sprint planning, and delivery practices.
Proficiency with SQL and Python, and practical experience with relevant data engineering tools and workflows (such as Pandas, PySpark, and Git).
Experience with enterprise data warehouses or lakes such as Databricks, Redshift, BigQuery, or Snowflake, or comparable platforms.
Ability to brief senior executives and government stakeholders, explain architectural tradeoffs, and mentor technical teams.
Ability to work in a hybrid arrangement based in Vienna, VA, with an expected on-site presence of at least three days per week, subject to supervisor direction.

Preferred experience

Experience with federal claims, healthcare, clinical, or other regulated and sensitive data environments, including HIPAA and federal data requirements.
Experience establishing enterprise data modeling standards, master data management, metadata catalogs, lineage, and data governance.
Familiarity with dimensional modeling, Data Vault, OLTP/OLAP architecture, and hybrid or multi-cloud design.
Experience supporting AI/ML-ready data platforms, analytics, feature pipelines, and data science teams.

Qualification wording

Bachelor’s degree or higher in Computer Science, Systems Engineering, Data Science, or a related field.

Demonstrated experience improving Agile/Scrum team maturity through hands-on product ownership, coaching, mentorship, and implementation of effective backlog management, sprint planning, and delivery practices.

Proficiency with SQL and Python, and practical experience with relevant data engineering tools and workflows (such as Pandas, PySpark, and Git).

Experience with enterprise data warehouses or lakes such as Databricks, Redshift, BigQuery, or Snowflake, or comparable platforms.

Ability to brief senior executives and government stakeholders, explain architectural tradeoffs, and mentor technical teams.

Ability to work in a hybrid arrangement based in Vienna, VA, with an expected on-site presence of at least three days per week, subject to supervisor direction.

Experience with federal claims, healthcare, clinical, or other regulated and sensitive data environments, including HIPAA and federal data requirements.

Experience establishing enterprise data modeling standards, master data management, metadata catalogs, lineage, and data governance.

Familiarity with dimensional modeling, Data Vault, OLTP/OLAP architecture, and hybrid or multi-cloud design.

Experience supporting AI/ML-ready data platforms, analytics, feature pipelines, and data science teams.

Education & alternatives

- U.S. citizenship and ability to obtain a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement). - Bachelor’s degree or higher in Computer Science, Systems Engineering, Data Science, or a related field. - At least six years of professional data architecture experience and at least two years of demonstrated, hands-on technical Product Owner experience, including independent responsibility for backlog prioritization, product decisions, and Scrum delivery. These experiences may be concurrent, provided both capabilities are clearly demonstrated.

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.

Apply at Steerbridge

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 31, 20264 days ago
Recorded sightings: 5
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

$170K–$190K 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 4

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

From 7,797 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

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.

Python
SQL
AWS
Azure
BigQuery
Databricks
GCP
Redshift
Snowflake
pandas
PySpark

Where the posting names them

- Demonstrated experience improving Agile/Scrum team maturity through hands-on product ownership, coaching, mentorship, and implementation of effective backlog management, sprint planning, and delivery practices. - Proficiency with SQL and Python, and practical experience with relevant data engineering tools and workflows (such as Pandas, PySpark, and Git). - Experience with enterprise data warehouses or lakes such as Databricks, Redshift, BigQuery, or Snowflake, or comparable platforms.

- Design scalable batch and real-time ETL/ELT pipelines, schema evolution, data quality controls, lineage, observability, and governance. - Direct cloud platform architecture and technology decisions across AWS, Azure, or GCP and enterprise warehouse/lake technologies. - Apply appropriate access controls, sensitive-data safeguards, and federal and healthcare data handling requirements.

- Proficiency with SQL and Python, and practical experience with relevant data engineering tools and workflows (such as Pandas, PySpark, and Git). - Experience with enterprise data warehouses or lakes such as Databricks, Redshift, BigQuery, or Snowflake, or comparable platforms. - Ability to brief senior executives and government stakeholders, explain architectural tradeoffs, and mentor technical teams.

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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 ↗

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 senior technical leader to own enterprise data architecture and serve as the Technical Product Owner for the Modern Disability Claims (MDC) data pipeline. This position combines hands-on architectural direction with independent product prioritization, backlog decisions, sprint delivery accountability, and mentorship for Scrum teams. The successful candidate will translate mission and program priorities into scalable designs, clear engineering work, and measurable delivery outcomes while communicating effectively with senior SteerBridge and VA stakeholders.

Key Responsibilities

Own the target-state architecture for claims, clinical, and healthcare data, including conceptual, logical, and physical models, integration patterns, and cloud data platforms.
Independently prioritize and maintain the technical product backlog; define epics, user stories, acceptance criteria, dependencies, and delivery priorities in partnership with mission stakeholders.
Own product decisions and sprint delivery outcomes for data engineering Scrum teams; guide sprint planning, refinement, reviews, and continuous improvement in coordination with team facilitators.
Provide experienced leadership and mentorship to MDC Scrum teams, establishing mature Agile delivery practices, improving backlog refinement, sprint planning, execution discipline, and delivery predictability. Coach engineers, junior architects, and Scrum team members in technical delivery, product ownership practices, and architecture standards.
Design scalable batch and real-time ETL/ELT pipelines, schema evolution, data quality controls, lineage, observability, and governance.
Direct cloud platform architecture and technology decisions across AWS, Azure, or GCP and enterprise warehouse/lake technologies.
Apply appropriate access controls, sensitive-data safeguards, and federal and healthcare data handling requirements.
Enable analytics and AI/ML use cases through reliable, governed, reusable data infrastructure.
Lead architecture reviews, resolve cross-system tradeoffs, and communicate roadmaps, risks, priorities, and technical decisions to executive and government stakeholders.

Required Qualifications

U.S. citizenship and ability to obtain a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement).
Bachelor’s degree or higher in Computer Science, Systems Engineering, Data Science, or a related field.
At least six years of professional data architecture experience and at least two years of demonstrated, hands-on technical Product Owner experience, including independent responsibility for backlog prioritization, product decisions, and Scrum delivery. These experiences may be concurrent, provided both capabilities are clearly demonstrated.
Demonstrated enterprise-scale data architecture ownership in a cloud environment, including data modeling, platform design, and data integration.
Actual experience independently prioritizing a technical product backlog, making backlog decisions, and guiding sprint execution for an engineering or data team; a formal Product Owner job title is not required.
Demonstrated experience improving Agile/Scrum team maturity through hands-on product ownership, coaching, mentorship, and implementation of effective backlog management, sprint planning, and delivery practices.
Proficiency with SQL and Python, and practical experience with relevant data engineering tools and workflows (such as Pandas, PySpark, and Git).
Experience with enterprise data warehouses or lakes such as Databricks, Redshift, BigQuery, or Snowflake, or comparable platforms.
Ability to brief senior executives and government stakeholders, explain architectural tradeoffs, and mentor technical teams.
Ability to work in a hybrid arrangement based in Vienna, VA, with an expected on-site presence of at least three days per week, subject to supervisor direction.

Preferred Qualifications

Experience with federal claims, healthcare, clinical, or other regulated and sensitive data environments, including HIPAA and federal data requirements.
Experience establishing enterprise data modeling standards, master data management, metadata catalogs, lineage, and data governance.
Familiarity with dimensional modeling, Data Vault, OLTP/OLAP architecture, and hybrid or multi-cloud design.
Experience supporting AI/ML-ready data platforms, analytics, feature pipelines, and data science teams.
Infrastructure as code, CI/CD, DevOps, and cost/performance governance for cloud data platforms.

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

170,000 – 190,000 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.

Employment type

Full-time

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