Principal Data Engineer

Location: US, CA, San Jose, Rio Robles

Time Type: Full time

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 Data Engineer

Job Requisition: 1010.1323.7 / R265296 

Job Location: San Jose, California

Job Type: Full Time

Rate of Pay: $267,800 - $288,558 per year

Duties:

• Lead enterprise data governance initiatives by leveraging AI-driven data profiling, anomaly detection, and automated classification techniques to establish robust policies, stewardship models, and quality frameworks across critical business domains.
• Design and implement master data management (MDM) solutions, incorporating machine learning algorithms for entity resolution, taxonomy enrichment, and Customer 360 creation to ensure consistent and intelligent data unification across systems.
• Build and maintain master data models for supply chain planning using predictive analytics, demand forecasting models, and optimization algorithms to support accurate planning, inventory management, and cross-functional decision-making.
• Design and develop scalable enterprise data platforms and architectures to support diverse business domains, integrating cloud-native technologies, distributed computing frameworks, and modern data engineering tools for efficient data processing, storage, and analytics.
• Provide technical leadership and mentorship to engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
• Collaborate with business stakeholders, data scientists, and analysts to translate business requirements into scalable technical solutions.
• Implement data governance practices to ensure data quality, security, and compliance, particularly when handling sensitive or regulated data.
• Drive innovation by developing new frameworks, prototypes, and automation tools to enhance data engineering capabilities.
• Stay current with emerging trends and technologies in data engineering and analytics and lead adoption of new tools and methodologies.

Partial Telecommute Benefit (2 days/week work from home)

Requirements: Must have a Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related technical field (willing to accept foreign education equivalent) and five (5) years of experience leading large-scale data engineering, governance and MDM initiatives across multiple business domains.

Must also possess the following (quantitative experience requirements not applicable to this section):

• Demonstrable experience (DE) implementing Master Data Management (MDM) and data governance frameworks, including stewardship models, metadata management, data quality monitoring, lineage tracking, and regulatory compliance (e.g., GDPR, CCPA) using tools such as Collibra, Informatica IIR/MDM, Siebel UCM, and SAP MDG.
• DE designing and delivering scalable cloud and on premises data platforms leveraging AWS, Redshift, Hadoop, and Hive, with experience building real time and batch data pipelines using distributed frameworks and big data technologies, and programming in Python, SQL, and PL/SQL.
• DE applying AI/ML tools/algorithms to solve enterprise data challenges, including entity resolution, predictive modeling, anomaly detection, and intelligent data matching and classification.
• DE in domain-driven data modeling and advanced analytics, including multi domain data structures, enterprise data architecture, and business-aligned semantic/dimensional modeling.
• DE leading cross-functional collaboration across business stakeholders, data scientists, engineers, and product teams to translate business requirements into scalable data solutions and analytics capabilities.

Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R265296.

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: No

Shift Type: 1st Shift/Days

• Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

• This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

• This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.