Note: The job is a remote job and is open to candidates in USA. GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings. The Principal Engineer will establish data architecture excellence across the engineering organization, working closely with application teams to guide data decisions and optimize data systems.

Responsibilities

• Work directly with application teams on data architecture for their applications and services
• Design and review data architectures and models, aligning data ownership with team domain boundaries
• Review application code and architecture with focus on data access patterns and performance
• Evaluate and recommend data storage technologies (MongoDB, PostgreSQL, NoSQL, document stores, warehouses)
• Optimize database performance: query tuning, indexing, execution plan analysis, resource management
• Guide technology selection based on read/write patterns, data volumes, and access patterns
• Define data access patterns: APIs, ORMs, event-driven architectures, replication strategies
• Establish data replication and syndication strategies (CDC, event streaming, batch processing)
• Guide data architecture for ML/LLM applications (vector databases, embeddings, RAG patterns)
• Lead zero-downtime data migrations and infrastructure modernization
• Hands-on troubleshooting and optimization of critical data systems
• Establish data quality, monitoring, and observability standards
• Lead knowledge sharing through workshops, documentation, and office hours

Skills

• 10+ years building software applications with heavy focus on data systems
• Strong application development background (full-stack, backend, or data-intensive applications)
• Deep expertise in NoSQL (MongoDB, DynamoDB, DocumentDB) and relational databases (PostgreSQL, SQL Server)
• Proven experience optimizing database performance at scale (query tuning, indexing, resource management)
• Strong data modeling and schema design skills
• Understanding of application architecture, API design, and software development practices
• Deep experience with cloud data platforms (AWS, Azure, or GCP) including cost optimization
• Experience with AI/LLM-assisted development tools and agentic software engineering practices
• Track record of establishing data standards across engineering organizations
• Excellent communication skills - able to influence and educate engineers at all levels
• Experience as a full-stack or backend engineer with deep data focus
• Proficiency in Python, Java, JavaScript/TypeScript, or C#
• AWS data services (RDS, Aurora, Redshift), Snowflake, or modern data warehouses
• Advanced data modeling (temporal models, event sourcing, complex domain modeling)
• Healthcare or EDI domain knowledge
• Experience with event-driven architectures and change data capture
• ETL/ELT tools and data pipeline orchestration
• Prior Principal/Staff Engineer experience

Benefits

• Health, vision, and dental insurance
• Accident and life insurance
• 401k matching
• Paid-time off
• Education reimbursement

Company Overview

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