Principal Engineer, Data Engineering

Job description

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, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X. Employer: Analog Devices, Inc. Job Title: Principal Engineer, Data Engineering Job Requisition: 1010.852.3 / R265694 Job Location: Wilmington, Massachusetts Job Type: Full Time Rate of Pay: $216,643 - $250,920 per year Duties: Develop strategies, design and own end-to-end data architecture to build scalable and resilient systems across diverse applications to enable modern AI and analytics solutions. Define and champion engineering best practices, frameworks and standards for data modeling, ingestion, storage and transformation for large-scale processing of data. Drive the frameworks to implement Data Quality, Observability and Data Governance across domains. Provide technical leadership to data teams and mentor data engineers by setting coding standards and best practices with thorough code reviews and design reviews. Collaborate with AI/ML and software engineers to train and tune AI models and enable fast experimentation and deployment with large datasets. Lead the execution of large scale, complex data and analytics efforts, as well as mentor complex projects using a wide breadth of data science and analytical techniques. Serve as a subject matter expert (SME) in key strategic data domains within the organization. Collaborate with business stakeholders to identify business problems and translate them into requirements and scalable technical designs. Lead strategic and innovative solutions by advising and influencing business leaders and senior stakeholders with data-driven insights. Communicate the value of data clearly by articulating both the high-level concept and detailed user stories for feature enhancements and convince teams to adopt data-driven improvements. Drive innovation by creating new frameworks, standards, prototypes, and automation projects in relevant areas. Influence the design decisions for projects across teams to capture analytical and AI/ML use cases. Partial Telecommute Benefit (2 days/week work from home) Requirements: Must have a Master’s degree in Information Technology, Computer Science, Electrical Engineering, Computer Engineering, or a related field (willing to accept a foreign education equivalent) and five (5) years of experience in the proffered role or related occupation defining, architecting, and rolling out data products, including ownership of data products through their entire lifecycle. Or in the alternative, a Bachelor’s degree in Information Technology, Computer Science, Electrical Engineering, Computer Engineering, or a related field (willing to accept a foreign education equivalent) and seven (7) years of experience in the proffered role or related occupation defining, architecting, and rolling out data products, including ownership of data products through their entire lifecycle. Must also possess the following (quantitative experience requirements not applicable to this section): Demonstrated Expertise (“DE”) with distributed systems, streaming systems, and data engineering tools, such as Spark, Kubernetes, Terraform, Kafka, Pub Sub, Airflow, or Hadoop. DE with ETL tools such as Informatica, Talend, SQL, or Python, databases like Oracle, SQL Server or Vertica), analytical and visualization tools Looker, AtScale, Tableau, or Business Objects. DE with cloud-native data architectures and services/platforms, such as GCP (BigQuery, Dataflow) or Azure (Synapse, Fabric) or AWS (Redshift, Glue), with a focus on scalable, cost-effective solutions. DE in data governance, security, and compliance, including implementation of data quality frameworks, lineage tracking, and access controls across distributed data environments. DE in applying foundational machine learning concepts to data engineering workflows, enabling model deployment, and forecasting techniques to empower non-technical stakeholders to access insights and automate decision-making. DE in observability, monitoring, and performance tuning for distributed data systems, and building observability frameworks using tools like Grafana, Datadog and custom metric instrumentation. DE with architect and implement large scale complex projects and lead and mentor data engineers. DE collaborating successfully with cross-functional teams and prioritize stakeholder goals and requirements. Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R265694. 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 La