Staff Data Engineer: Lakehouse & AI Analytics Leader

Antler Co; Warsaw (IN); On-site; USD 120,000 - 180,000; Full time

Job summary

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

The role requires guiding solution architecture, pipeline design, engineering standards, and cross-team delivery with Product Owners, data governance, ML groups, and IT partners to deliver

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, integration patterns, and architecture using Databricks, AWS, Python, SQL, Spark, and Delta Lake.
• Turn business requirements and technical challenges into architecture decisions, implementation plans, and reusable patterns.
• Develop blueprints for batch, streaming, and event-driven pipelines that support analytics, BI, AI/ML, and digital product use cases.
• Partner with Product Owners, Supply Chain teams, data governance, AI and ML groups, and IT partners to align delivery with measurable business outcomes.
• Lead architecture and design discussions, ensuring solutions meet standards for scalability, reliability, quality, security, maintainability, and cost efficiency.
• Break down large initiatives into work packages, user stories, and acceptance criteria for internal engineers and external contractors.
• Coordinate contractor and vendor execution by assigning work, reviewing deliverables, and providing technical direction.
• Set clear standards for data modeling, modularity, reuse, automated testing, CI/CD, data quality, observability, lineage, and operational support.
• Lead hands-on development and technical reviews with Databricks, PySpark, Spark SQL, Python, SQL, dbt, and orchestration tools like Airflow.
• Champion responsible adoption of AI-assisted engineering to improve quality, documentation, testing, and delivery velocity.
• Mentor engineers and contractors through design and code reviews and architecture guidance (no direct people-management responsibility)

Job description

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

The role requires guiding solution architecture, pipeline design, engineering standards, and cross-team delivery with Product Owners, data governance, ML groups, and IT partners to deliver