Principal Software Engineer, Data Architecture and EngineeringSky Mavis • Saint Paul, Illinois, United States
Principal Software Engineer, Data Architecture and Engineering
Sky Mavis
- Saint Paul, Illinois, United States
- Saint Paul, Illinois, United States
About
This role works side-by-side with application engineers, not in isolation. Your peers will be full-stack and backend engineers building products. You need to understand application architecture, API design, and deployment practices - and bring deep data expertise to that context.
What You'll Do
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
Required Qualifications
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
Preferred Qualifications
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
What We're Looking For You come from an application development background and understand how data fits into the broader application architecture. You're hands‑on and take ownership - you can architect complex data systems and roll up your sleeves to optimize them. You succeed by making others successful - you educate and empower rather than gatekeep. You speak the language of application engineers and can review their code, understand their challenges, and guide them to better data solutions. You understand trade-offs, know when to optimize for speed vs. perfection, and can influence without authority. You've run data systems in production at scale and understand what it takes to keep them performant and reliable.
Why This Role Matters GHX Engineering is transforming toward autonomous, stream‑aligned teams with independent deployment capabilities. This role is central to that vision - establishing data architecture excellence that enables teams to move fast without creating future problems. You'll define data strategy for a growing engineering organization in healthcare technology, working directly with engineering leadership on this transformation.
Estimated Salary Range Estimated Salary Range for this position:
$150,000 to $214,000 plus bonus
The base salary range represents the anticipated low and high end of the GHX’s salary range for this position. The base salary is one component of GHX’s total compensation package for employees. Other rewards and benefits include: health, vision, and dental insurance, accident and life insurance, 401k matching, paid‑time off, and education reimbursement, to name a few.
Equal Employment Opportunity Global Healthcare Exchange, LLC and its North American subsidiaries (collectively, “GHX”) provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. All qualified applicants will receive consideration for employment without regard to any status protected by applicable law. This EEO policy applies to all terms, conditions, and privileges of employment, including hiring, training and development, promotion, transfer, compensation, benefits, educational assistance, termination, layoffs, social and recreational programs, and retirement.
GHX believes that employees should be provided with a working environment which enables each employee to be productive and to work to the best of his or her ability. We do not condone or tolerate an atmosphere of intimidation or harassment based on race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. GHX expects and requires the cooperation of all employees in maintaining a discrimination and harassment‑free atmosphere. Improper interference with the ability of GHX’s employees to perform their expected job duties is absolutely not tolerated.
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Languages
- English
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