Senior Data Architect - Federal Healthcare Programs (Remote)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Architect in the United States.

This role offers a unique opportunity to design and optimize data systems that drive operational efficiency and support strategic decision-making. You will architect scalable, secure, and high-performance data platforms while integrating diverse data sources across healthcare and contact center systems. Working closely with analysts, developers, and business stakeholders, you will ensure seamless data flow, implement governance standards, and create robust pipelines that enable actionable insights. This fully remote role allows for collaboration in a flexible environment while delivering critical data solutions to support complex federal healthcare programs. The position emphasizes technical excellence, innovative problem-solving, and a commitment to reliability and compliance.

Accountabilities

• Design, develop, and maintain scalable data architectures, pipelines, and storage solutions.
• Integrate data from multiple healthcare and contact center systems to ensure interoperability.
• Build and optimize ETL processes for efficient data ingestion, transformation, and storage.
• Develop and maintain databases, data warehouses, and data lakes with high performance and security.
• Implement data governance, quality assurance, and compliance standards across all platforms.
• Collaborate with analysts and business stakeholders to define requirements and deliver actionable insights.
• Develop and deploy APIs and data services for secure access to data assets.
• Monitor, troubleshoot, and resolve data issues, identifying opportunities for optimization.
• Document data architecture, flows, and technical specifications for internal teams.
  
  

Requirements

• Bachelors degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 510 years of experience in data architecture, data engineering, or database development.
• Expertise in relational and non-relational databases (e.g., SQL Server, PostgreSQL, MongoDB).
• Proficiency in data pipeline development using SQL, Python, Spark, or ETL frameworks (e.g., Azure Data Factory, Databricks).
• Experience with cloud data platforms (e.g., Azure) and data warehousing solutions.
• Knowledge of data modeling, integration, and API development.
• Familiarity with data governance, security, and compliance standards in regulated environments.
• Excellent problem-solving, multitasking, and organizational skills.
• Strong verbal and written communication abilities, including technical documentation.
  
  

Preferred Qualifications

• Experience with big data technologies (Spark, Hadoop, Kafka) and advanced analytics platforms.
• Knowledge of data visualization tools such as Power BI or Tableau.
• Familiarity with healthcare data standards (HL7, FHIR) or VistA/HealthShare integration.
• Experience supporting federal healthcare initiatives or VA programs.
• Ability to obtain a government clearance.
  
  

Benefits

• Medical, dental, and vision coverage.
• 401(k) plan with employer match.
• Paid time off plus federal holidays.
• Corporate laptop and remote work flexibility.
• Professional training and development opportunities.
  
  

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly:

• Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
• It compares your profile to the jobs core requirements and past success factors to determine your match score.
• Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
• When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
  
  

The process is transparent, skills-based, and free of bias focusing solely on your fit for the role.

Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps, including interviews or additional assessments, are then made by their internal hiring team.

Thank you for your interest!