Senior Data Engineer – DevOps Team

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

Join our innovative team at the Analog Garage, Analog Devices' internal innovation lab, where collaboration, creativity, and cutting-edge technology converge. 
 
We're a dynamic group of software engineers, hardware engineers, scientists, and business leaders passionate about 
solving complex problems and developing groundbreaking solutions. 
 
Our Mission 
 
As part of our Platforms and Systems team, you'll tackle exciting challenges in: 
 
Renewable Energy: Harness innovation for a sustainable future 
Advanced Biotechnology: Unlock new possibilities for human health 
Robotics: Revolutionize industries with intelligent machines 

 
Your Role 

We are seeking a Senior Data Engineer to join our small but highly impactful DevOps and Data Engineering team within our larger R&D organization. As the first dedicated Data Engineer on the team, you will play a pivotal role in shaping our data strategy, driving technical architecture, and laying the foundation for scalable and maintainable data systems. You’ll have the opportunity to mentor and coach colleagues across the organization, collaborate with software engineers, DevOps, and AI/ML engineers, and lead the implementation of best practices for data engineering. 

This role is ideal for someone who thrives in a hybrid environment—where data originates from diverse sources including IoT devices, robotics, lab sensors, and other systems—and is passionate about building reliable pipelines that feed cloud-based analytics and decision-making. You’ll need to be excited by the idea of leaning into and growing your DevOps skillset as you will be a contributing towards the DevOps platform and function. 

Responsibilities 

• Design and implement scalable, reliable, and maintainable data pipelines and architectures that ingest, transform, and store data from a variety of on-premises and cloud sources. 

• Define and drive the organization’s data strategy, including data modeling, governance, and infrastructure. 

• Collaborate with software engineers, DevOps, and R&D teams to build systems that enable robust data collection, processing, and analysis. 

• Develop tooling, frameworks, and libraries that accelerate data engineering workflows and promote reusability. 

• Establish best practi