Staff Data Engineer: Lakehouse & Cloud Data Architect

Biopharma Careers; Raynham (MA); On-site; USD 94,000 - 152,000; Full time

Job summary

Johnson & Johnson is seeking a Staff Data Engineer to lead the data foundation across the Orthopaedics Supply Chain. You will design lakehouse architectures on Databricks and AWS, enabling governed, reusable data products for analytics, reporting, AI, and decision-making.

You will collaborate with Product Owners, data engineers, ML teams, and external partners to translate business problems into scalable technical solutions.

Qualifications

• Minimum four (4) years of relevant professional work experience.
• Experience in data engineering, data architecture, or platform engineering.
• Strong hands-on experience with Databricks, Apache Spark, PySpark, Spark SQL, Python, SQL, and Delta Lake.
• Strong experience with AWS cloud data services; Azure experience desirable.

Responsibilities

• Provide technical leadership for the Data Foundation initiative to modernize the enterprise data ecosystem through lakehouse architecture and cloud platform capabilities.
• Design complex data pipelines and architectures using Databricks, AWS, Python, SQL, Spark, and Delta Lake.
• Turn business requirements and technical challenges into architecture decisions and delivery plans.
• Develop blueprints for batch, streaming, and event-driven pipelines supporting analytics, BI, AI/ML, and digital product use cases.
• Coordinate with Product Owners, Supply Chain teams, data governance, AI/ML groups, and IT partners to align delivery with measurable outcomes.
• Lead architecture and design discussions ensuring scalable, reliable, and secure solutions.
• Break down initiatives into work packages, stories, and acceptance criteria for engineers and contractors.
• Mentor engineers through design and code reviews and architecture guidance.

Skills

Databricks

Spark

PySpark

Python

SQL

Delta Lake

AWS

CI/CD

Git

Airflow

BI platforms

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Databricks

Apache Spark

dbt

Airflow

Job description

Johnson & Johnson is seeking a Staff Data Engineer to lead the data foundation across the Orthopaedics Supply Chain. You will design lakehouse architectures on Databricks and AWS, enabling governed, reusable data products for analytics, reporting, AI, and decision-making.

You will collaborate with Product Owners, data engineers, ML teams, and external partners to translate business problems into scalable technical solutions.