Sierra Solutions
Job Summary
Were looking for a seasoned
Senior Full Stack Software Engineer / Architect
for a leading Life Science data and analytics consulting client partner. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across both product and data domains. In this role, youll be expected to take ownership of mission-critical projectsranging from customer-facing applications to backend systems and large-scale data workflows. Youll collaborate closely with cross-functional teams to design scalable solutions, guide engineering execution, and ensure best practices across the stack. Primary Responsibilities
Designing and building robust GraphQL and REST APIs and scalable backend services that are both internal and external facing Taking technical ownership of features across both product and data domains Leading projects involving full-stack web development, systems architecture, and data integration Developing data pipelines and ETL processes for ingesting, transforming, and delivering structured and semi-structured data Building or integrating internal tools and admin interfaces for data stewardship, data quality, and operational workflows Supporting data-driven features in existing applications and collaborating closely with stakeholders to embed insights in product experiences Designing technical solutions that support large-scale application growth, availability, and maintainability Providing technical leadership on complex engineering initiatives spanning multiple teams and systems Evaluating and integrating new technologies to solve business and platform challenges Working closely with Product and Data stakeholders to translate business requirements into scalable engineering solutions Promoting engineering excellence through code quality, performance tuning, testing best practices, and architecture documentation Education and Experience
Technical Skills
7 years of experience as a software engineer with a focus on full-stack and backend development Strong expertise in React, TypeScript, and Node.js. Proven experience designing, building, and scaling APIs (GraphQL and REST) in production environments Strong data modeling and database design experience, ideally with PostgreSQL Experience working with modern monorepo setups and modular architectures Comfortable building, supporting, and integrating with production-grade ETL/data pipelines Experience building data processing and integration logic within custom applications using languages such as Node.js, Python, or SQL, with attention to performance, scalability, and maintainability Familiarity with modern data tools and platforms such as AWS Glue, Snowflake, Apache Airflow, Databricks, or similar technologies Strong understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes) Comfortable with test-driven development (TDD) and automated testing frameworks Deep understanding of software architecture principles (e.g., SOLID, DDD, DRY) Experience with both greenfield and legacy systems Business Skills
Technically versatile and capable of leading projects across both application and data-focused initiatives Confident in navigating ambiguity and owning delivery from problem framing through execution Strong communication skills with an ability to bridge technical and non-technical stakeholders Demonstrated experience mentoring engineers and contributing to engineering culture and growth Experience in fast-paced startup or scaling environments Proactive in identifying architectural and systemic improvements Prior experience in healthcare, life sciences, or regulated data environments is a plus
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Were looking for a seasoned
Senior Full Stack Software Engineer / Architect
for a leading Life Science data and analytics consulting client partner. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across both product and data domains. In this role, youll be expected to take ownership of mission-critical projectsranging from customer-facing applications to backend systems and large-scale data workflows. Youll collaborate closely with cross-functional teams to design scalable solutions, guide engineering execution, and ensure best practices across the stack. Primary Responsibilities
Designing and building robust GraphQL and REST APIs and scalable backend services that are both internal and external facing Taking technical ownership of features across both product and data domains Leading projects involving full-stack web development, systems architecture, and data integration Developing data pipelines and ETL processes for ingesting, transforming, and delivering structured and semi-structured data Building or integrating internal tools and admin interfaces for data stewardship, data quality, and operational workflows Supporting data-driven features in existing applications and collaborating closely with stakeholders to embed insights in product experiences Designing technical solutions that support large-scale application growth, availability, and maintainability Providing technical leadership on complex engineering initiatives spanning multiple teams and systems Evaluating and integrating new technologies to solve business and platform challenges Working closely with Product and Data stakeholders to translate business requirements into scalable engineering solutions Promoting engineering excellence through code quality, performance tuning, testing best practices, and architecture documentation Education and Experience
Technical Skills
7 years of experience as a software engineer with a focus on full-stack and backend development Strong expertise in React, TypeScript, and Node.js. Proven experience designing, building, and scaling APIs (GraphQL and REST) in production environments Strong data modeling and database design experience, ideally with PostgreSQL Experience working with modern monorepo setups and modular architectures Comfortable building, supporting, and integrating with production-grade ETL/data pipelines Experience building data processing and integration logic within custom applications using languages such as Node.js, Python, or SQL, with attention to performance, scalability, and maintainability Familiarity with modern data tools and platforms such as AWS Glue, Snowflake, Apache Airflow, Databricks, or similar technologies Strong understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes) Comfortable with test-driven development (TDD) and automated testing frameworks Deep understanding of software architecture principles (e.g., SOLID, DDD, DRY) Experience with both greenfield and legacy systems Business Skills
Technically versatile and capable of leading projects across both application and data-focused initiatives Confident in navigating ambiguity and owning delivery from problem framing through execution Strong communication skills with an ability to bridge technical and non-technical stakeholders Demonstrated experience mentoring engineers and contributing to engineering culture and growth Experience in fast-paced startup or scaling environments Proactive in identifying architectural and systemic improvements Prior experience in healthcare, life sciences, or regulated data environments is a plus
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