Data Platform Leader: Lakehouse & AI Readiness

Johnson & Johnson MedTech; Florida; Hybrid; USD 102,000 - 177,000; Full time

Benefits offered by this job

Vacation 120 hours per year

Sick time 40 hours per year (Colorado

Sick time varies by state

Holiday pay 13 days per year

Work/personal/family time 40 hours per

Job summary

Johnson & Johnson is recruiting a Data Platform Manager to own the strategy and architecture of a modern data platform for Orthopedics. You will lead the Data Foundation initiative to overhaul the data ecosystem, leverage Databricks, cloud services, and medallion architecture to deliver trusted data products and AI-ready data.

You will guide ingestion, transformation, testing, governance, and observability capabilities, enabling teams to onboard data and deliver business-ready products with

Qualifications

• Minimum of six years of relevant professional work experience.
• Experience leading the design and implementation of data platforms or lakehouse modernization.
• Strong hands-on experience with Databricks, PySpark, Python, SQL, and cloud services.
• Experience designing automated testing strategies for data pipelines and CI/CD.
• Experience leading distributed data engineering teams and governance practices.

Responsibilities

• Own and implement the Data Platform and Data Foundation strategy, target architecture, roadmap, engineering standards, and measurable outcomes.
• Lead the design and evolution of a scalable Databricks lakehouse using medallion architecture, reusable data products, and cloud-native services.
• Design, build, and scale reusable, metadata-driven data ingestion and data pipeline frameworks, including batch and streaming patterns, source onboarding, transformation, orchestration, schema evolution, auditability, and embedded data-quality controls.
• Establish platform engineering standards for data modeling, code quality, automated testing, CI/CD, documentation, security, performance, cost efficiency, and production readiness.
• Design and implement the data engineering governance framework in partnership with Data Governance, embedding ownership, business definitions, policy controls, architecture reviews, data quality, certification, lineage, and traceability into engineering workflows and data products.
• Implement end-to-end data observability and operational governance, including monitoring, reliability, service-level expectations, incident prevention, and lifecycle management.
• Enable analytics and AI teams with governed, reusable, and AI-ready data while maintaining alignment with the Enterprise AI Platform and business digital-product teams.
• Provide technical governance and architectural oversight for business separation and transition activities, protecting continuity while enabling independent future-state platforms.
• Translate sophisticated business and digital-product needs into platform capabilities, manageable work packages, delivery roadmaps, and outcome-based execution plans.
• Lead internal engineers and delivery partners; set technical direction, review solution quality, dependencies and risks, and build sustainable internal capability.

Skills

Data engineering

Platform ownership

Databricks

PySpark

Spark SQL

Python

SQL

Delta Lake

CI/CD

Cloud services

Education

Bachelor’s degree in CS/Engineering/Math

Masters degree preferred

Tools

Databricks

PySpark

Spark SQL

Python

SQL

Delta Lake

Azure

AWS

dbt

Airflow

Job description

Johnson & Johnson is recruiting a Data Platform Manager to own the strategy and architecture of a modern data platform for Orthopedics. You will lead the Data Foundation initiative to overhaul the data ecosystem, leverage Databricks, cloud services, and medallion architecture to deliver trusted data products and AI-ready data.

You will guide ingestion, transformation, testing, governance, and observability capabilities, enabling teams to onboard data and deliver business-ready products with