Senior Data Platform Engineer - AI & Cloud Ops

Workday, Inc.; Vancouver; Hybrid; CAD 112,000 - 210,000; Full time

Benefits offered by this job

Flexible work

Hybrid work model

Job summary

Workday, Inc. in Vancouver is seeking a Senior Software Engineer to join the Datahub team.

You will help build a cloud ops platform that ingests data from internal and external producers and surfaces curated data sets to Workday applications and AI/ML workflows. The role requires 6+ years in software engineering or distributed systems, 3+ years with Java, Scala or Python, and hands-on experience with AWS or GCP, Kubernetes, Spark, and Terraform.

Qualifications

• 6+ years of experience in Software Engineering, Distributed Systems or a related field.

Responsibilities

• In this role, you will contribute to a cloud ops platform that ingests data from internal and external producers, computes and surfaces meaningful, curated data sets, and exposes these sets to Workday Front-End components or as embedded contextual data for AI/ML inference generation.
• You will work with technologies like Kubernetes, Spark, Python, Java, Terraform, Iceberg, and AWS/GCP to enable scalable data workflows.

Skills

Software engineering

Distributed systems

Java

Scala

Python

Cloud engineering

Data engineering

Education

BSc or MSc in Computer Science/Computer Engineering or equivalent experience

Tools

Apache Spark

Apache Iceberg

Kubernetes

Terraform

AWS Cloud Infrastructure

Job description

Workday, Inc. in Vancouver is seeking a Senior Software Engineer to join the Datahub team.

You will help build a cloud ops platform that ingests data from internal and external producers and surfaces curated data sets to Workday applications and AI/ML workflows. The role requires 6+ years in software engineering or distributed systems, 3+ years with Java, Scala or Python, and hands-on experience with AWS or GCP, Kubernetes, Spark, and Terraform.