Principal Data Architect – Technical Product Owner

SteerBridge

. Own the target-state architecture for claims, clinical, and healthcare data, including conceptual, logical, and physical models, integration patterns, and cloud data platforms .

Posted 10/30/2026full-timeVienna • Virginia • United StatesLead💰 $170,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data architecture, including the design of scalable ETL/ELT pipelines and cloud platform architecture across AWS, Azure, or GCP. Proven ability to lead Scrum teams, prioritize technical backlogs, and mentor engineers while ensuring compliance with healthcare data handling requirements.

Highest-signal resume keywords

Data Architecture OwnershipTechnical Product Owner ExperienceETL/ELT Pipeline DesignCloud Platform ArchitectureAgile/Scrum Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSQLPythonPandasPySparkGitData IntegrationData Quality ControlsSchema EvolutionCloud Data Platforms

Soft Skills

LeadershipMentorshipCommunicationCoachingCollaboration

Tools & Technologies

AWSAzureGCPDatabricksRedshiftBigQuerySnowflake

Certifications & Qualifications

Public Trust ClearanceSecret ClearanceTop Secret Clearance

Industry Keywords

Healthcare DataData GovernanceData LineageAgile MethodologiesScrum Practices

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformPandasPySparkPythonSnowflakeSQL

About the role

Key responsibilities & impact

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
Own product decisions and sprint delivery outcomes for data engineering Scrum teams; guide sprint planning, refinement, reviews, and continuous improvement
Provide leadership and mentorship to MDC Scrum teams and coach engineers, junior architects, and Scrum team members
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 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

Requirements

What you’ll need

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
At least two years of demonstrated, hands-on technical Product Owner experience, including independent responsibility for backlog prioritization, product decisions, and Scrum delivery
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
Demonstrated experience improving Agile/Scrum team maturity through hands-on product ownership, coaching, mentorship, backlog management, sprint planning, and delivery practices
Proficiency with SQL and Python, and practical experience with 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 expected on-site presence of at least three days per week

Benefits

Comp & perks

Health insurance
Dental insurance
Vision insurance
Life Insurance
401(k) Retirement Plan with matching
Paid Time Off
Paid Federal Holidays
Disability coverage
Professional development opportunities