Key skills
AWSMS SQL ServerCI/CDInfrastructure as CodePythonBashPowerShellC#Data QualityCSQLAIMachine LearningAnalyticsEC2S3CloudWatchSQL ServerSaaS
About this role
Panopto is a customer-centric learning technology company that empowers organizations to share knowledge through visual and audio-based learning. They are seeking a DataOps Engineer to architect the data infrastructure and automate data management processes, ensuring efficient data handling for over 10 million users.
Responsibilities:
- Engineer the Data Lifecycle: You will design and implement the "Golden Path" for data, ensuring seamless transitions between operational SQL environments, analytics warehouses, and AI-ready data sets
- Implement Data as Code: You’ll move beyond manual administration by treating our AWS-hosted MS SQL infrastructure as a version-controlled, automated ecosystem using CI/CD and Infrastructure as Code (IaC)
- Architect Multi-Layer Reliability: You will build the frameworks that guarantee data quality and availability across all tiers—from high-concurrency operational databases to the complex feature stores used by our AI and Machine Learning models
- Optimize for Scalability & Performance: You’ll identify and resolve architectural bottlenecks in our massive SQL Server environment, ensuring the system can handle the high-throughput demands of modern SaaS analytics
- Standardize Data Observability: You will develop advanced monitoring and alerting strategies that provide deep visibility into data health, ensuring that operational and analytical layers remain performant and trustworthy
- Bridge the Engineering Gap: You’ll collaborate with Software Engineers and Data Scientists to ensure the data architecture supports both rapid product iteration and long-term research initiatives
Requirements:
- 5+ years of experience in DevOps or Database Administration
- Deep expertise in managing MS SQL Server on AWS infrastructure (EC2, S3, CloudWatch)
- Proficient in Python, Bash, or PowerShell
- Working knowledge of C# to build robust automation scripts
- Ability to treat AWS-hosted MS SQL infrastructure as a version-controlled, automated ecosystem using CI/CD and Infrastructure as Code (IaC)
- Experience in designing and implementing data lifecycle management
- Ability to build frameworks that guarantee data quality and availability
- Experience in identifying and resolving architectural bottlenecks in SQL Server environments
- Ability to develop advanced monitoring and alerting strategies for data health
- Experience collaborating with Software Engineers and Data Scientists