Lead, Data Platform Engineer

$104,000 - $166,750/Yr

Johnson & Johnson - Raritan, NJ

Full-time - Senior

Raritan, NJ

Chemical Manufacturing

About the position

The Lead, Data Platform Engineer at Johnson & Johnson Innovative Medicine is a pivotal role focused on designing, building, and maintaining scalable data platform technologies that support AI, machine learning, and data science initiatives within the pharmaceutical research and development sector. This position offers opportunities to innovate and shape platform strategies while collaborating with various stakeholders to ensure high-quality data solutions.

Responsibilities

• Design, develop, and operate an end-to-end data platform for pharmaceutical research and development.
• Innovate and shape platform strategy to enable new scientific areas within the research and development group.
• Work with Data Product Owners to design, develop, and maintain data pipelines using Snowflake or Databricks, Airflow, DBT, and Streamsets.
• Collaborate with data product owners, data scientists, analysts, and other partners to understand data requirements.
• Implement data integration, transformation, and validation processes to ensure data accuracy and consistency.
• Optimize data workflows for performance, scalability, and reliability.
• Monitor and resolve data pipeline issues in a timely manner.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience in data engineering or a similar role.
• Expertise in Snowflake or Databricks, Airflow, DBT, and Streamsets.
• Experience with AWS, Azure, GCP, and cloud data warehouses like AWS Redshift, Snowflake, and BigQuery.
• Authority in Data Modeling, Data Migration, Data Cleansing, and ETL Processes.
• Hands-on experience with Apache Spark, Apache Kafka, and Apache Airflow.

Nice-to-haves

• Experience with machine learning and artificial intelligence solution development.
• Proficient in Python and SQL programming.
• Proficiency in test automation and CI/CD practices.
• Experience with DataOps development and automation.
• Strong understanding of DevOps principles and tools.
• Experience working in healthcare or a regulated industry.

Benefits

• Health insurance coverage
• 401k retirement savings plan
• Paid holidays
• Flexible scheduling options
• Professional development opportunities