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 $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today's innovators stay Ahead of What's Possible.

Primary Location(s): San Jose, CA or Boston, MA

Secondary Locations(s): Durham, NC, Dallas TX or Beaverton, OR

Responsibilities

• As a Senior Data Platform Engineer, you be responsible for architecting and building the core technologies and infrastructure to modernize and scale ADI's data engineering platform.
• Lead technical teams to architect and develop a data platform, focusing on modern, scalable, and robust design principles.
• Collaborate with cross-functional teams, such as data engineers, software engineers, infrastructure teams, and business units to enable effective data cohesion to support business processes and analytics.
• Lead technology selection and development of enterprise data virtualization, data orchestration tools, and integration with AI/ML platforms.
• Provide technical leadership, overseeing the entire data platform lifecycle. Enable and support self-serve data engineering solutions for both the wider data team and engineers throughout the enterprise.
• Implement and uphold modern software design principles, ensuring best practices in CI/CD, DevOps, and infrastructure-as-code.
• Proactively ensure the security and integrity of the platform and data feeds and take part in security and privacy design reviews.
• Conduct research to stay ahead of the latest developments in data engineering, communicate learnings to the team, and evaluate / recommend new technologies for the platform.

Qualifications

• 10+ years of experience in software engineering, including 5+ years working on data engineering platforms and experience leading technical teams.
• Degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
• Experience rolling out data virtualization technologies at scale and architecting the connection and cataloging of many real-time data feeds.
• Broad expertise and experience with distributed systems, streaming systems, and data tools, such as Kubernetes, Kafka, Airflow, Dagster, etc.
• Experience architecting large-scale data processing infrastructure using modern cloud infrastructure on Azure or AWS.
• Proven ability to design and build modern DevOps / DataOps processes.
• An advocate of software development best practices that focuses on engineering excellence.
• A confident peer influencer with strong communication skills who quickly establishes credibility and is capable of leading cross-functional technical teams.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days