Principal Data Engineer

Analog Devices, Inc.; San Jose, Northern (CA, KY); Hybrid; USD 268,000 - 289,000; Full time

Benefits offered by this job

Partial telecommute 2 days/week

Medical, vision and dental coverage

401k

Paid vacation, holidays, and sick time

Job summary

Analog Devices, Inc. in San Jose, CA seeks a Principal Data Engineer to lead data governance, MDM and analytics initiatives across multiple domains.

You will design enterprise data platforms, apply AI/ML techniques, and mentor teams while partnering with stakeholders to deliver scalable data solutions. Qualifications include a CS/IT degree and 5+ years in data governance, MDM, cloud data platforms, and data modeling.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field and 5 years of experience.
• Experience leading large-scale data governance, MDM initiatives across multiple domains.
• Experience implementing MDM and data governance frameworks with Collibra, Informatica IIR/MDM, Siebel UCM, SAP MDG.
• Designing cloud and on-prem data platforms using AWS, Redshift, Hadoop, Hive; Python/SQL/PL/SQL.
• Applying AI/ML to data challenges: entity resolution, predictive modeling, anomaly detection.
• Leading cross-functional collaboration translating business requirements into scalable data solutions.
• Domain-driven data modeling and enterprise data architecture expertise.

Responsibilities

• Lead enterprise data governance initiatives using AI-driven profiling, anomaly detection, and automated classification.
• Design and implement MDM solutions with entity resolution and Customer 360 for unified data.
• Build and maintain master data models for supply chain planning using predictive analytics.
• Design scalable data platforms with cloud-native tech and distributed computing for analytics.
• Provide technical leadership and mentorship to engineering teams.
• Collaborate with stakeholders to translate requirements into scalable data solutions.
• Implement governance for data quality, security, and compliance.
• Drive innovation by developing new frameworks and automation tools.
• Stay current with trends and lead adoption of new tools and methods.
• Partial Telecommute Benefit (2 days/week work from home).

Skills

Data governance

MDM (Master Data Management)

Entity resolution

Predictive analytics

Cloud data platforms

Python

SQL

PL/SQL

AI/ML in data

Data modeling

Stakeholder collaboration

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

Collibra

Informatica IIR/MDM

Siebel UCM

SAP MDG

AWS

Redshift

Hadoop

Hive

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.

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.

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. Come join ADI - a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare. ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.