Principal Data Engineer

Johnson & Johnson Innovative Medicine•New Brunswick, NJ

1d•$102,000 - $170,000•Onsite

About The Position

This is a duration based role that will last 2 years. The Principal Data Engineer owns product engineering and architectural decisions, serving as both the technical visionary and hands-on leader responsible for solution delivery. This role partners closely with Product Owners, Product Group Engineers, Lead Engineers, architects, and cross-functional product squads to solve complex engineering challenges, define scalable technical solutions, and ensure alignment with enterprise technology strategy. The role is accountable for product technical architecture, engineering standards, technology roadmaps, and the successful delivery of scalable, secure, and governed data and AI solutions. The ideal candidate brings 10+ years of progressive experience in enterprise data engineering, architecture, analytics, and AI, with deep expertise in Azure, Microsoft Fabric, Databricks, Power BI, Data Mesh, Data Federation, Data Modeling, Data Governance, Enterprise Data Management, Generative AI, and Agentic AI platforms.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field; Master’s degree preferred.
15+ years of experience in enterprise data engineering, technical architecture, analytics, AI platforms, and cloud engineering.
Proven experience leading architecture decisions, technical strategy, and engineering standards across multiple teams and products.
Hands-on expertise 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 disciplines.
Demonstrated expertise with Generative AI technologies including LLMs, RAG, vector databases, AI agents, prompt engineering, and enterprise AI architectures.
Experience implementing MLOps, LLMOps, Responsible AI, model governance, and AI operationalization frameworks.
Strong understanding of structured and unstructured data architectures supporting enterprise AI and intelligent automation.
Exceptional communication, collaboration, and stakeholder management skills with the ability to influence both technical and non-technical audiences.
Proven ability to lead through ambiguity and drive alignment across business and technology organizations.

Nice To Haves

Experience operating in highly regulated industries with stringent security, privacy, compliance, and quality requirements.
Experience partnering with ISRM, Quality & Compliance organizations, and audit functions to ensure operational readiness and control compliance.
Experience with enterprise knowledge management platforms, document intelligence solutions, and semantic technologies.
Familiarity with knowledge graphs, graph databases, vector platforms, enterprise search, and advanced AI retrieval strategies.
Demonstrated experience establishing engineering observability, reliability engineering practices, Site Reliability Engineering (SRE), and operational excellence frameworks.
Experience driving measurable business outcomes and value realization through enterprise data and AI initiatives.
Experience leading enterprise AI transformation programs, AI platform strategy, and adoption of emerging AI technologies at scale.

Responsibilities

Lead the end-to-end data integration strategy for the Butterfly program, ensuring seamless data movement across CRM, ERP, MDM, CDP, analytics, and downstream platforms.
Own integration architecture decisions, standards, and patterns across batch, real-time, API-based, event-driven, and file-based integrations.
Partner with business, product, and application teams to define data exchange requirements and align with enterprise data standards.
Drive the design, development, testing, and deployment of scalable integration solutions supporting global releases and country rollouts.
Establish and govern integration design reviews, technical specifications, mapping documents, and interface contracts.
Coordinate cross-functional teams to manage integration dependencies, risks, and release readiness.
Serve as the primary technical lead for application onboarding, source-to-target mapping, integration assessments, and data flow design.
Ensure integration solutions meet performance, reliability, scalability, security, and compliance requirements.
Design and implement enterprise integration solutions using APIs, ETL/ELT pipelines, messaging frameworks, event-driven architectures, and cloud-native integration patterns.
Lead source system onboarding and integration of commercial, customer, product, consent, and transactional data into Butterfly data products.
Establish reusable integration frameworks, canonical data models, and standardized mapping approaches to accelerate delivery and reduce complexity.
Embed data quality controls, reconciliation processes, exception handling, and monitoring capabilities into all integration solutions.
Collaborate with MDM, Data Product, Analytics, Experience, and Application teams to support a unified enterprise data ecosystem.
Define integration observability standards, including logging, alerting, monitoring, SLA management, and operational support processes.
Drive API-first integration strategies and support the governance and lifecycle management of enterprise APIs and data services.
Lead migration and modernization efforts from legacy integrations to cloud-native architectures leveraging Azure, Databricks, and Microsoft Fabric.

Benefits

medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
consolidated retirement plan (pension)
savings plan (401(k))
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year
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/foster care of a child
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours