Enterprise Data & AI Platform Lead

Johnson & Johnson Co.

New Jersey

On-site

USD 102,000 - 170,000

Full time

11 days ago

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Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Pension plan

401(k) plan

Vacation 120 hours per year

Job summary

Johnson & Johnson is seeking a Principal Data Engineer in New Jersey to own product engineering and architectural decisions for scalable data and AI solutions. You will partner with product owners and cross-functional squads to deliver data-driven outcomes and align with enterprise technology strategy.

The role requires 10+ years in data engineering, analytics, and AI, with deep expertise in Azure, Databricks, Power BI, and data governance.

Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
15+ years of experience in enterprise data engineering, analytics, AI platforms, and cloud engineering.
Deep expertise in Azure, Microsoft Fabric, Databricks, Power BI, Data Mesh, Data Federation, Data Modeling, Data Governance, and Enterprise Data Management.
Strong understanding of cloud-native architectures, API-first design, distributed systems, and enterprise integration patterns.
Experience with Generative AI technologies including LLMs, RAG, vector databases, AI agents, and enterprise AI architectures.

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.