Lead Data Warehouse Architect, GCP & Data Pipelines

TTEC Digital; Toronto; Hybrid; CAD 120,000 - 160,000; Full time

Job summary

A leading digital solutions company based in Toronto is seeking a Principal Data Warehouse Architect to lead Data Science and Engineering initiatives. This role focuses on designing scalable Google Cloud services and optimizing data processes. The ideal candidate will have significant experience in Data Engineering, proficiency in programming languages such as Python, and expertise in Big Data tools. The position also involves mentoring junior engineers and collaborating with other teams to ensure project success.

Benefits

Great Place To Work certification

Diverse and inclusive workplace

Employee growth opportunities

Qualifications

• 8+ years of experience in Data Engineering.
• 2+ years of coding REST services and APIs using Python, C#, Node.js, or Java.
• Google Cloud Certified Professional Data Engineer is required.

Responsibilities

• Lead high-impact Data Science and Engineering initiatives.
• Design and deploy scalable Google Cloud services in GCP.
• Develop and implement robust data ingestion pipelines from diverse sources.

Skills

Python (pandas, numpy, PySpark)

SQL expertise

Terraform

GCP services

Big Data pipeline tools (Spark, Pig, Hive, Sqoop, Kafka)

Education

Post-secondary degree in Computer Science, MIS, or IT-related field

Tools

Microsoft Project

Visio

Office tools

Job description

A leading digital solutions company based in Toronto is seeking a Principal Data Warehouse Architect to lead Data Science and Engineering initiatives. This role focuses on designing scalable Google Cloud services and optimizing data processes. The ideal candidate will have significant experience in Data Engineering, proficiency in programming languages such as Python, and expertise in Big Data tools. The position also involves mentoring junior engineers and collaborating with other teams to ensure project success.