Using embedded artificial intelligence refined by real time human insight, our client gives life sciences sales and marketing teams the information they need to improve the customer experience.

Our client equips life science companies with the decision support technology to quickly evaluate mountains of data, extracting only what’s relevant and valuable at the time of decision. With brand strategy as a starting point, our client`s software analyzes market data, channel activity and HCP preference to provide life science companies with the insights, clarity and guidance to deliver the right information at the right time to physicians and their patients.

More than half of the worlds top 20 pharmaceutical companies rely on our clients software to put complex data into context, coordinate channel activity and improve sales effectiveness significantly.

Headquartered in San Francisco, they also have offices in Philadelphia, London, Barcelona, Tokyo, Osaka, Shanghai, Beijing, Sydney, and Sao Paulo.

Principle Duties and Essential Responsibilities:
• Experience managing big data platforms or large data warehouses and data bases (MySQL, Snowflake etc)
• Assume administrative and operational ownership of AWS-based Database services, including MySQL and PostgreSQL
• Conceptualize, build monitoring dashboards, thresholds, alerting to monitor ETL pipelines
• Collaborate with Data Platform engineering team to improve data observability, self recovery of jobs
• Support the high availability and disaster recovery options and work closely with SRE team
• Participate and lead efforts involving incident response and root cause analysis for SRE
• Serve as a subject matter expert on Database Performance, logging, data security and compliance best practices
• Own ETL related issues in production, work and collaborate across Services and engineering team to reduce ETL errors, improve reliability and automate self-healing

What you’ll need to be successful...
• 5-7 years of experience in managing data warehouse, databases in clouded environment
• 4-6 years of experience in ETL tools (eg. CopyStorm, Apache Gobblin)
• 1-2 years experience in supporting and managing snowflake in cost effective way
• Experience in managing production environments and managing enterprise dalalakes in the cloud environment
• Understand database design, caching, scalability, and disaster recovery
• Strong experience in supporting data operation in Public cloud providers (AWS, Google, Azure)
• Experience in CI/CD tools