Principal Data Engineer

Description

This two-year, duration-based role is in New Brunswick, New Jersey, United States. It sits in Data Analytics & Computational Sciences, under Data Engineering, in the Scientific/Technology category.

The company works across Innovative Medicine and MedTech to prevent, treat and cure complex diseases.

The principal data engineer makes product engineering and architecture decisions and leads technically while also building solutions. You will work with product owners, engineers, architects and product squads on hard engineering problems and on alignment with enterprise technology strategy.

Responsibilities

• Set the end-to-end data integration plan for the Butterfly program so data moves reliably between CRM, ERP, MDM, CDP, analytics and downstream platforms.
• Own integration architecture choices and patterns for batch, real-time, API, event-driven and file-based exchange.
• Work with business, product and application teams to define data exchange needs that fit enterprise data standards.
• Lead design, build, testing and release of scalable integrations for global launches and country rollouts.
• Run integration design reviews and own specifications, mapping documents and interface contracts.
• Manage integration dependencies, risks and release readiness across teams.
• Act as the main technical lead for application onboarding, source-to-target mapping, integration assessments and data flow design.
• Make sure integrations meet performance, reliability, scalability, security and compliance standards.
• Build integrations using APIs, ETL/ELT pipelines, messaging, event-driven and cloud-native patterns.
• Lead onboarding of commercial, customer, product, consent and transactional sources into Butterfly data products.
• Create reusable integration frameworks, canonical data models and standard mapping methods.
• Add data quality checks, reconciliation, exception handling and monitoring to every integration.
• Work with MDM, data product, analytics, experience and application teams on one enterprise data ecosystem.
• Set observability standards covering logging, alerting, monitoring, SLA management and operational support.
• Drive an API-first strategy and oversee governance and lifecycle of enterprise APIs and data services.
• Lead the move from legacy integrations to cloud-native architectures on Azure, Databricks and Microsoft Fabric.

Requirements

• Bachelor's degree in computer science, engineering, information systems, data science or a related field.
• 15+ years in enterprise data engineering, technical architecture, analytics, AI platforms and cloud engineering.
• The ideal candidate has 10+ years of progressive experience in enterprise data engineering, architecture, analytics and AI.
• Proven record leading architecture decisions, technical strategy and engineering standards across multiple teams and products.
• Hands-on skill with Azure, Microsoft Fabric, Databricks, Power BI and modern cloud-native technologies.
• Strong experience with Data Mesh, Data Federation, Data Products, Data Modeling, Data Governance and Enterprise Data Management.
• Demonstrated expertise with generative AI, including LLMs, RAG, vector databases, AI agents, prompt engineering and enterprise AI architecture.
• Experience with MLOps, LLMOps, Responsible AI, model governance and AI operationalization frameworks.
• Understanding of structured and unstructured data architectures that support enterprise AI and intelligent automation.
• Strong communication, collaboration and stakeholder management skills, with the ability to influence technical and non-technical audiences.
• Ability to lead through ambiguity and align business and technology organizations.
• Lead Agile delivery organizations, including product development, governance, standards and change management.
• Strong understanding of cloud-native architecture, API-first design, distributed systems and enterprise integration patterns.
• Working knowledge of modern SDLC, CI/CD, test automation, DevOps, containerization, Infrastructure as Code and platform engineering.
• Evaluate technical tradeoffs and guide teams toward scalable, maintainable solutions.
• Lead selection, implementation, integration and operation of enterprise data, analytics, AI and digital platforms.
• Align technology investment with business strategy, value drivers and industry trends.
• Show measurable business outcomes from data, analytics and AI work.
• Coach, develop and mentor engineers, build trusted partnerships with architects and business leaders, and lead teams across squads, functions, geographies and experience levels.
• Preferred: Master's degree.
• Preferred: experience in highly regulated industries with strict security, privacy, compliance and quality requirements.
• Preferred: experience partnering with ISRM, quality and compliance teams and audit functions on operational readiness and control compliance.
• Preferred: experience with enterprise knowledge management, document intelligence and semantic technologies.
• Preferred: familiarity with knowledge graphs, graph databases, vector platforms, enterprise search and advanced AI retrieval.
• Preferred: experience establishing engineering observability, reliability engineering, Site Reliability Engineering (SRE) and operational excellence frameworks.
• Preferred: experience driving value realization through enterprise data and AI initiatives.
• Preferred: experience leading enterprise AI transformation programs, AI platform strategy and adoption of emerging AI at scale.
• Preferred skills: Advanced Analytics, Agility Jumps, Coaching, Critical Thinking, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Science, Digital Fluency, Execution Focus, Hybrid Clouds, Organizing, Presentation Design, Technical Development, Technical Writing, Technologically Savvy.

Conditions

The role runs for two years.

The position is based in New Brunswick, New Jersey, United States.

The anticipated base pay range is $102,000 to $170,000.

The company is committed to an inclusive interview process and will provide accommodations on request.

Benefits

• Medical, dental, vision, life insurance, short- and long-term disability, business accident insurance and group legal insurance.
• Pension plan and 401(k) savings plan.
• Vacation: 120 hours per calendar year.
• Sick time: 40 hours per calendar year, or 56 hours per calendar year for employees in Washington State.
• Holiday pay, including floating holidays: 13 days per calendar year.
• Work, personal and family time: up to 40 hours per calendar year.
• Parental leave: 480 hours within one year of the birth, adoption or foster care of a child.
• Condolence leave: 30 days for an immediate family member and 5 days for an extended family member.
• Caregiver leave: 10 days.
• Volunteer leave: 4 days.
• Military spouse time off: 80 hours.
• Eligibility depends on plan terms and date of hire.