Sr Pr Eng Data Engineering

Data Lake Engineer and Solution Architect, R&D Therapeutics Discovery

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for humanity.

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About Innovative Medicine
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
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We are searching for the best talent for Data Lake Engineer and Solution Architect, R&D Therapeutics Discovery in Spring House, PA or Beerse, Belgium.

The Data Lake Engineer and Solution Architect is responsible for designing, optimizing, and operationalizing the data lake to serve high-dimensional biology teams, including High-Content Imaging, High-Throughput Transcriptomics, High-Throughput Proteomics among others. The candidate will optimize data models for high-dimensional biology data teams, make high-dimensional data AI/ML ready, tune storage and query performance for large-scale combined analyses across high-dimensional modalities, and deliver a standardized API for programmatic access.

• Design scalable data models and optimize schemas for high-dimensional biological data.
• Architect and tune data lakes for performance and cost efficiency.
• Develop standardized APIs and SDKs for secure, streamlined data access.
• Collaborate with scientific teams and vendors to deliver platform capabilities.
• Maintain documentation and train users on best practices.
• Implement governance, security, and compliance frameworks.

• Degree in Computer Science, Data Engineering, Bioinformatics, or related field; advanced degree (MS/PhD) preferred.
• 7+ years in data/platform engineering, including 3+ years with data lakes.
• Experience with biological data (omics, imaging) and analytic workflows.
• Hands‑on expertise with Snowflake, SQL at scale, and cloud platforms.
• Strong programming and scripting skills (Python, SQL), and pipeline orchestration tools.
• Proven ability to design APIs and communicate technical trade-offs effectively.

• Data modeling and schema optimization.
• Performance tuning for data lakes and queries.
• API development and secure data access.
• Governance, lineage, and metadata management.
• Cloud-based data platforms and orchestration tools.
• Programming in Python and SQL.

• Familiarity with ML infrastructure and feature stores.
• Advanced Snowflake optimization and cost-control strategies.
• Knowledge of data catalog tools and metadata standards.
• Experience with containerization and CI/CD for data pipelines.
• Background in omics or high-dimensional imaging pipelines.