Hybrid Data Platform Architect: AI-Driven Governance & MDM

Analog Devices

San Jose (CA)

Hybrid

USD 268,000 - 289,000

Full time

14 days+

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Benefits offered by this job

2 days work from home

Job summary

Analog Devices, Inc. in San Jose, CA is seeking a Principal Data Engineer to lead data governance and build scalable, AI-enabled data platforms. You will drive Master Data Management, support analytics, and mentor engineering teams in a hybrid work setup.

The role requires deep expertise in data architecture, multi-domain data modeling, and collaboration with stakeholders across the enterprise.

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
  • At least five years of experience leading large-scale data engineering, governance and MDM initiatives across multiple business domains.

Responsibilities

  • Lead enterprise data governance initiatives with AI-driven profiling, anomaly detection, and automated classification.
  • Design and implement Master Data Management (MDM) solutions with entity resolution and Customer 360 creation.
  • Build master data models for supply chain planning using predictive analytics and optimization.
  • Design and develop scalable enterprise data platforms and architectures with cloud-native tech and distributed computing.
  • Provide technical leadership and mentorship to engineering teams.
  • Collaborate with business stakeholders, data scientists, and analysts to translate requirements into scalable data solutions.
  • Implement data governance practices to ensure data quality, security, and regulatory compliance.
  • Drive innovation by developing new frameworks, prototypes, and automation tools.

Skills

Data governance
Data engineering
Leadership

Education

Bachelor's degree in Computer Science / Data Engineering / Information Systems

Tools

AWS
Redshift
Hadoop
Hive
Collibra
Informatica IIR/MDM
Siebel UCM
SAP MDG
Python
SQL
PL/SQL

Job description

Analog Devices, Inc. in San Jose, CA is seeking a Principal Data Engineer to lead data governance and build scalable, AI-enabled data platforms. You will drive Master Data Management, support analytics, and mentor engineering teams in a hybrid work setup.

The role requires deep expertise in data architecture, multi-domain data modeling, and collaboration with stakeholders across the enterprise.

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