Manager, Platform Integrations & Engineering

Thermo Fisher Scientific•Morrisville, NC

20h•Remote

About The Position

The Manager, Platform Integrations & Engineering leads a global team responsible for designing, building, and supporting secure, scalable integrations for CRG Digital platforms and clinical research capabilities. The role establishes engineering standards across enterprise applications, data platforms, vendor ecosystems, and cloud technologies, while helping shift bespoke development toward reusable, configurable, and increasingly automated solutions. The manager provides technical oversight across integration and data technologies, partners with architecture and solution teams to establish repeatable engineering patterns, and sets standards for integration design, documentation, testing, deployment, security, and lifecycle management. The role supports enterprise applications, clinical and vendor platforms, APIs, cloud data platforms, external partners, and data movement involving Snowflake, Databricks, and cloud object storage. The position advances CI/CD and DevOps practices, promotes automated quality and security controls, and applies AI-assisted development and testing where appropriate under governance and human oversight. It ensures compliance with applicable SDLC, change-control, validation, cybersecurity, privacy, and regulatory requirements. The manager also supports production operations through observability, incident response, root-cause analysis, operational metrics, knowledge transfer, and coordination with support teams. The role balances project delivery, modernization, technical debt, production support, and strategic priorities, while partnering across business and technical groups and managing vendor or contractor resources to established standards.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or comparable experience.
At least 8 years of progressive technology or integration engineering experience, including significant experience leading technical engineering teams.
Strong experience designing, developing, and supporting enterprise integrations in complex production environments, including production-critical services and root-cause analysis and remediation.
Demonstrated technical experience with several of the following: Talend; MuleSoft / Anypoint Platform; Oracle SOA; SQL; Python; Snowflake; Databricks; and Tidal or comparable enterprise scheduling/orchestration technology.
Strong understanding of REST APIs, web services, file-based and database integrations, batch processing, middleware, enterprise integration patterns, and cloud data and integration architectures.
Experience with Git-based source control, CI/CD pipelines, automated testing, code review, and modern DevOps practices.
Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.
Able to work upright and stationary for typical working hours.
Ability to use and learn standard office equipment and technology with proficiency.
Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.
May require as-needed travel of 0–20%.
Must be legally authorized to work in the United States without sponsorship.
Must be able to pass a comprehensive background check, including a drug screening.

Nice To Haves

Experience in clinical research, life sciences, healthcare, or another highly regulated industry.
Experience with GxP, Computer System Validation (CSV), regulated SDLC, change-control, and auditability requirements.
Experience modernizing legacy integration estates and moving teams toward API-first, reusable, cloud-native patterns.
Experience implementing automated software-quality and security controls in CI/CD pipelines.
Experience with data integration for enterprise data platforms and lakehouse architectures, including Snowflake, Databricks, and cloud object storage.
Experience with AI-assisted engineering in a controlled enterprise development environment.

Responsibilities

Lead, mentor, and develop a global team of integration and platform engineers responsible for development and production support.
Set expectations and standards for engineering quality, ownership, delivery, and operational excellence.
Provide technical oversight across SQL, Python, Talend, MuleSoft, Oracle SOA, Tidal, Snowflake, and Databricks.
Partner with Platform Architecture and solution architects to translate enterprise architecture direction into repeatable engineering patterns.
Establish and enforce standards for API, file-based, database, event-driven, batch, and cloud integrations, including SOPs, reusable patterns, naming and coding conventions, technical documentation, and lifecycle management.
Promote configuration and reuse, and establish criteria for configuring, reusing, extending, custom-building, retaining, modernizing, consolidating, or replacing solutions.
Minimize bespoke development and modernize legacy integrations toward API-first and cloud-native patterns.
Ensure integrations meet requirements for scalability, resilience, security, maintainability, performance, and operational support.
Support enterprise applications, clinical and vendor platforms, APIs, cloud data platforms, external partners, and data movement into and across Snowflake, Databricks, and cloud object storage.
Advance CI/CD and DevOps maturity by establishing source control, branching, pull requests, peer reviews, release management, and automated testing.
Build reusable unit and regression testing frameworks for standard integration patterns.
Automate build validation, code quality checks, static analysis, vulnerability and secrets scanning, deployment gates, and release validation.
Use AI-assisted development and testing where appropriate for code, documentation, test cases, troubleshooting, and repeatable work, with governance and human oversight.
Ensure practices comply with applicable SDLC, change-control, validation, cybersecurity, privacy, and regulatory requirements.
Maintain segregation of duties, traceability, deployment approval, and production access controls.
Keep integration assets documented with clear ownership, dependencies, support procedures, and lifecycle plans.
Partner with Run-the-Engine and support teams on escalation paths, knowledge transfer, support documentation, and engineering ownership.
Keep production integrations monitored, observable, supportable, and resilient.
Establish proactive logging, alerting, dependency management, and automated recovery where feasible; drive root-cause analysis and permanent fixes for recurring failures.
Track availability, failures, incident volume, mean time to detect and resolve, deployment quality, defect leakage, technical debt, SLA performance, development cycle time, quality, automation, productivity, integration health, capacity, and operational risk.
Balance project delivery, modernization, technical debt, production support, and strategic priorities; allocate resources accordingly.
Partner with Product, Architecture, Data, Quality, Cybersecurity, Infrastructure, business stakeholders, and manage vendor or contractor resources to the same standards.