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We are 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.
Principal Data Engineering
Location
United States
Posted
89 days ago
Salary
$144 - $205K / year
Seniority
Lead
No structured requirement data.
Job Description
Principal Data Engineering
DSC Resources
Role Description We're seeking a Principal Engineer to establish data architecture excellence across our engineering organization. As we transition to autonomous, stream-aligned teams, we need a hands-on data expert who can enable application teams to make sound data decisions independently. 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 a 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 Qualifications - 10+ years building software applications with a 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 Requirements - Experience as a full-stack or backend engineer with a 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 - Salary - $144 - 205k + bonus Company Description We are 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.
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