Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform.
Develop automated workflows and data platforms that support analytics, reporting, and AI/ML use cases.
Implement best practices for data security, governance, CI/CD, and automated deployment.
Collaborate with data engineers, architects, data scientists, and business stakeholders.
Produce high-quality, reusable code and mentor team members on best practices.
Support testing, deployment, monitoring, and production troubleshooting.

10+ years of IT experience with 5+ years in Data Architecture
Minimum 2+ years of hands-on experience with Google Cloud Platform
2+ years of API development experience
Strong experience with: BigQuery, Cloud Run, GKE, Cloud Functions
Python (FastAPI), Java, or Scala
Apigee, Kafka, Spark Streaming
SQL, CI/CD, Git/GitHub
Solid understanding of Agile methodologies
Strong problem-solving, communication, and collaboration skills
Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs.
Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures.
Experience with CI/CD, Git/GitHub, and Agile methodologies.
Strong communication skills and ability to mentor junior engineers.
Preferred Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI.
Google Cloud Professional Data Engineer Certification.
Bachelor’s degree in computer science or related field (Master’s preferred).

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Cloud Data Architect

Key skills