Principal Data Engineer & AI Platform Lead (Hybrid)

Analog Devices; Wilmington (DE); Hybrid; USD 217,000 - 251,000; Full time

Benefits offered by this job

Partial telecommute (2 days/week)

Job summary

Analog Devices, Inc. is seeking a Principal Engineer, Data Engineering to own end-to-end data platforms enabling AI and analytics across products. You will lead architecture, standards and governance, mentoring teams and partnering with AI/ML and software engineers.

This role supports hybrid work with partial telecommuting. Required master’s degree with extensive experience in distributed systems, ETL, cloud data platforms, and data governance.

Qualifications

• Master's degree or foreign equivalent accepted; 5+ years in data products lifecycle preferred.
• Proven architecture, data product ownership and lifecycle management.
• Experience with distributed and streaming data systems at scale.

Responsibilities

• Design end-to-end data architecture for scalable AI/analytics systems.
• Define data models, ingestion, storage and transformation standards.
• Lead data governance, quality, observability, and security across domains.
• Mentor data engineers; set coding and design review standards.
• Collaborate with AI/ML teams to train models on large datasets.
• Translate business problems into scalable data solutions and roadmaps.

Skills

Distributed systems

Streaming systems

Data engineering tools

Spark

Kubernetes

Terraform

Kafka

Airflow

Hadoop

ETL tools

SQL

Python

BigQuery

Dataflow

Synapse

Redshift

Tableau

Looker

Grafana

Datadog

Education

Master's degree in IT/CS/EE/CE or related field

7+ years of experience OR 5+ years with Master’s

Tools

Spark

Kubernetes

Terraform

Kafka

Pub/Sub

Airflow

Informatica

Talend

SQL

Python

Oracle

SQL Server

Vertica

Looker

Tableau

Spark (again)

Job description

Analog Devices, Inc. is seeking a Principal Engineer, Data Engineering to own end-to-end data platforms enabling AI and analytics across products. You will lead architecture, standards and governance, mentoring teams and partnering with AI/ML and software engineers.

This role supports hybrid work with partial telecommuting. Required master’s degree with extensive experience in distributed systems, ETL, cloud data platforms, and data governance.