Lead the incremental modernization of a large, Oracle-centric system by extracting business logic and computationally intensive processing from PL/SQL into application and platform level components, implemented using modern languages and frameworks (e.g., .NET/C#).
Design architectures that treat the database primarily as durable storage and efficient data access, while executing complex rules, detection logic, enrichment, and aggregation outside the database.
Define processing strategies that may include in-process, distributed, stateful, or partitioned execution models, selected based on workload characteristics (batch, near real-time, scale, and data volume).
Define and evolve the target architecture and technology stack, prioritizing open source ecosystems and vendor-neutral patterns.
Design solutions capable of processing hundreds of millions of records across tenants, with attention to throughput, scalability, data isolation, and cost efficiency.
Establish migration strategies that enable parallel execution, parity validation, and safe incremental cutover as logic is moved out of the database.
Provide technical leadership as the product expands to integrate new clinical and operational data feeds, modular services and APIs, authentication and authorization capabilities, and internal and external integrations.
Shape architectural standards for data ingestion, batch and near real-time processing, service boundaries, and API design.
Ensure systems are scalable, observable, reliable, and auditable, appropriate for regulated healthcare environments.
Remain hands-on, contributing to design and code while mentoring engineers and influencing technical direction across teams.
Requirements:
5-7 years of experience.
Health industry experience is a must-have.
Significant experience modernizing legacy, data-intensive systems operating at scale.
Demonstrated success decoupling business logic and processing from relational databases and re-implementing it in application or platform level execution environments.
Strong proficiency in C#/.NET or similar modern, multi-paradigm languages, with emphasis on modularity and testability.
Deep understanding of SQL and relational databases, including performance tuning and making informed decisions about what belongs in the database versus outside it.
Experience designing systems that handle large volume, multi-tenant data using batch, micro-batch, or near real-time processing approaches.
Proven ability to define and execute incremental modernization strategies without disrupting production systems.
Experience guiding systems as they evolve from product to platform, supporting multiple integrations and consumers.
Strong communication skills and ability to influence technical and non-technical stakeholders.
Preferred Skills:
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
