Global Healthcare Exchange, Inc. logoGlobal Healthcare Exchange, Inc. logo

Principal Software Engineer - Data Architecture & AWS

Global Healthcare Exchange, Inc.Office Location or Remote - USA
Remote Full-time $150K/yr - $214K/yr

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Experience Level

Senior

Qualifications

Qualifications Overview 10+ years in software engineering with a primary focus on data systems. Proficient in full-stack or backend development with an emphasis on data management. In-depth knowledge of NoSQL and relational databases. Experience in database performance optimization and resource management. Strong skill set in data modeling and design. Familiarity with cloud technologies, particularly AWS. Background in AI-assisted tools is a plus.

About the job

We are in search of a Principal Software Engineer to spearhead the establishment of data architecture best practices within our engineering team. As we evolve towards autonomous, stream-aligned teams, we require a hands-on data specialist who can empower application teams to independently make informed data decisions.

This role involves close collaboration with application engineers, working alongside full-stack and backend engineers to develop innovative products. A strong understanding of application architecture, API design, and deployment practices is essential, paired with profound data expertise.

Key Responsibilities

  • Collaborate directly with application teams to develop robust data architecture for their applications and services.
  • Design and assess data architectures and models, ensuring alignment between data ownership and team domain boundaries.
  • Conduct reviews of application code and architecture with an emphasis on data access patterns and performance optimization.
  • Evaluate and recommend data storage technologies such as MongoDB, PostgreSQL, NoSQL, and data warehouses.
  • Enhance database performance through query tuning, indexing, execution plan analysis, and resource management.
  • Guide the selection of technology based on read/write patterns, data volumes, and access requirements.
  • Define data access patterns including APIs, ORMs, event-driven architectures, and replication strategies.
  • Establish strategies for data replication and syndication, including CDC, event streaming, and batch processing.
  • Provide guidance on data architecture for machine learning and large language model applications, focusing on vector databases and embeddings.
  • Lead zero-downtime data migrations and infrastructure modernization initiatives.
  • Engage in hands-on troubleshooting and optimization of critical data systems.
  • Set standards for data quality, monitoring, and observability.
  • Promote knowledge sharing through workshops, documentation, and office hours.

Required Qualifications

  • 10+ years of experience in building software applications with a strong focus on data systems.
  • Solid background in application development (full-stack, backend, or data-intensive applications).
  • Expertise in both NoSQL (MongoDB, DynamoDB, DocumentDB) and relational databases (PostgreSQL, SQL Server).
  • Proven track record of optimizing database performance at scale, including query tuning and resource management.
  • Strong skills in data modeling and schema design.
  • Understanding of application architecture, API design, and software development practices.
  • Substantial experience with cloud data platforms (AWS, Azure, or GCP), including cost optimization strategies.
  • Experience using AI/LLM-assisted development tools and agentic software engineering practices.

About Global Healthcare Exchange, Inc.

Global Healthcare Exchange, Inc. is a leading provider of healthcare technology solutions, dedicated to improving the efficiency and effectiveness of healthcare providers and suppliers. We foster a collaborative environment where innovation thrives, and we are committed to empowering our teams to achieve data-driven excellence.

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