Looking for DataOps Engineer to lead database performance management for SaaS health-tech company, that are helping people find affordable medicine.

This leadership role means to be responsible for data operations of a fast growing SaaS product and data management environment with high performance and security requirements. We look for a passion for automation and observability, the ability to motivate and lead database performance engineering, and deep knowledge of database management and programming.

Tech Stacks:
MySQL, Snowflake, Redis
AWS, GitHub
Java, Python, Tableau Cloud and Tableau Prep

Essential Functions:
1) Define and build automated a database performance engineering process and framework
2) Collect and manage deterministic, well-known, and representative test sets
3) Optimize database performance using configuration, best-practices, and effective models
4) Engage with developers to collaborate on requirements and performance engineering
5) Create and manage ETL processes
6) Detect and respond to operational and customer problems

Knowledge and Skills:
- 3.5+ years of professional database management, development, and/or DataOps experience in a SaaS product environment
- Experience database performance engineering large scale systems through high growth
- Experience leading data quality management activities
- Ability to collaborate with Java and Python developers on best practices for database performance and data quality
- Deep knowledge of database internals and best practices for transactional and analytical processing
- Ability to problem-solve collaboratively and independently