Senior Data Engineer — Lakehouse & Cloud Platform Lead

Johnson & Johnson MedTech; Mooresville (IN); On-site; USD 94,000 - 152,000; Full time

Benefits offered by this job

Vacation 120 hours

Sick time 40 hours

Parental Leave 480 hours

Job summary

Johnson & Johnson is seeking a Staff Data Engineer to build the modern data foundation powering digital products across the Orthopaedics Supply Chain. You will help design lakehouse architecture on Databricks and AWS, enabling governed, reusable data products for analytics, reporting, AI, and operational decision‑making.

You will lead architecture discussions, partner with product owners and data teams, and drive implementable solutions with scalable, secure, and observable data pipelines.

Qualifications

• Minimum four (4) years of relevant professional work experience.
• Experience in data engineering, data architecture, or platform engineering.

Responsibilities

• Provide technical leadership for the Data Foundation initiative to modernize the enterprise data ecosystem.
• Design complex data pipelines using Databricks, AWS, Python, SQL, Spark, and Delta Lake.
• Turn business requirements into architecture decisions and actionable delivery plans.
• Lead hands‑on development and technical reviews with Databricks, PySpark, Spark SQL, Python, SQL, dbt, and Airflow.

Skills

Databricks

Spark

Python

SQL

Delta Lake

AWS

CI/CD

Data Modeling

Education

Bachelor's degree

Tools

Databricks

PySpark

Airflow

dbt

Job description

Johnson & Johnson is seeking a Staff Data Engineer to build the modern data foundation powering digital products across the Orthopaedics Supply Chain. You will help design lakehouse architecture on Databricks and AWS, enabling governed, reusable data products for analytics, reporting, AI, and operational decision‑making.

You will lead architecture discussions, partner with product owners and data teams, and drive implementable solutions with scalable, secure, and observable data pipelines.