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Principal Architect Dataops
| Company | Medtronic |
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| Location | Minneapolis, MN, USA |
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| Salary | $174300 – $190800 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Master’s degree in Software Engineering, Computer Science, Information Technology or related engineering or technical field
- Five (5) years of experience as a Lead Cloud Engineer, DevOps/Data Ops Engineer, Application Developer, or any related Software Engineering occupation
- Five (5) years’ experience in automation initiatives to streamline manual processes and enhance productivity
- Five (5) years’ experience in software delivery through Engineering CI/CD pipelines, integrating testing and monitoring frameworks
- Five (5) years’ experience in Infrastructure-as-code (IaC) using tools to include Terraform and CloudFormation
- Five (5) years’ experience in designing scalable solutions across multi-cloud platforms such as AWS, Azure, Snowflake and Databricks
- Five (5) years’ experience in system reliability, security, and performance through proactive monitoring, logging, and alerting solutions
- Five (5) years’ experience in data privacy and security regulations by implementing data access controls, data masking, and data encryption techniques
- Experience in designing and implementing multi-cloud secured network architectures
Responsibilities
- Build high quality, scalable and resilient distributed systems that power Medtronic Diabetes analytics platform and data pipelines
- Manage data and AWS infrastructure and operations within the organization
- Work with cross-functional teams to ensure the smooth and efficient flow of data
- Monitor and troubleshoot system performance to ensure high availability and efficient resource utilization
- Collaborate with development teams to optimize application architectures for performance efficiency, security, operational excellence, reliability, and cost efficiency
- Ensure security and compliance standards are met throughout the software development lifecycle
- Leverage emerging technologies, industry trends, and best practices in DevOps, DataOps, and cloud computing
- Lead automation initiatives to streamline manual processes and enhance productivity
- Engineer Continuous Integration and Continuous Development (CI/CD) pipelines, integrate testing and monitor frameworks to enable rapid and continuous software delivery
- Design and develop infrastructure-as-code (IaC) using tools like Terraform and Cloud Formation
- Architect, design, and maintain scalable and reliable infrastructure solutions in multi-cloud environments such as AWS, Azure, Snowflake, and Databricks
- Evaluate and enhance system reliability, security, and performance through proactive monitoring, logging, and alerting solutions
- Ensure data governance policies and procedures are followed, including data privacy and security regulations by implementing data access controls, data masking, and data encryption techniques
- Collaborate with cross-functional teams to design and implement highly secured and robust network architectures across multi-cloud platforms
Preferred Qualifications
No preferred qualifications provided.
