Lead, Data Platform Engineer

$104,000 - $166,750/Yr

Johnson & Johnson - Juneau, AK

Full-time - Mid Level

Juneau, AK

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 for collaboration across various functional areas and aims to innovate and enhance the data platform strategy to drive advancements in healthcare solutions.

Responsibilities

• Design, develop, and operate an end-to-end data platform for pharmaceutical research & development.
• Innovate and shape platform strategy to enable new scientific areas within research & development.
• Collaborate with Data Product Owners to develop and maintain data pipelines using Snowflake or Databricks, Airflow, DBT, and Streamsets.
• Understand data requirements and deliver high-quality data platforms and solutions in collaboration with data scientists and analysts.
• 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.
• Familiarity with agile methodologies, test automation, and DevOps practices.
• Proven track record of architecting and building scalable data platforms using cloud services.
• Skilled in AWS, Azure, GCP, Snowflake, and Databricks for data analytics and visualization.
• Experience in optimizing distributed data solutions for batch and streaming processing.
• Authority in Data Modeling, Data Migration, Data Cleansing, and ETL Processes.

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 in healthcare or a regulated industry.
• Excellent problem-solving and analytical skills.
• Experience in agile software development teams.

Benefits

• Medical, dental, and vision insurance
• Life insurance
• Short- and long-term disability insurance
• Business accident insurance
• Group legal insurance
• 401(k) retirement plan
• Vacation time up to 120 hours per year
• Sick time up to 40 hours per year
• Holiday pay including Floating Holidays up to 13 days per year
• Work, Personal and Family Time up to 40 hours per year