AI Platform Engineer

About the role

You will manage the data infrastructure that powers our AI mining capabilities. This role sits at the intersection of infrastructure and data engineering, ensuring that our AI and product teams have reliable, governed access to the data they need to build and deploy models.

Key facts

What you'll do

• Manage BigQuery datasets, schemas, cloud storage, and IAM policies.
• Build and maintain automated pipelines for data movement, including backfills and scheduled jobs.
• Integrate Dataform and manage event streaming resources.
• Implement data governance, including anonymization, retention, and access controls for sensitive information.
• Partner with data science and AI teams to translate requirements into provisioned infrastructure.
• Monitor data quality, freshness, and system observability.
• Improve infrastructure-as-code practices using Terraform and CI/CD workflows.

Requirements

• Proven experience in data engineering, platform engineering, or infrastructure with a focus on data.
• Proficiency with BigQuery or similar cloud data warehouses.
• Hands-on experience with infrastructure-as-code tools.
• Understanding of data contracts, including lineage, quality, and downstream dependencies.
• Experience handling privacy-sensitive data and implementing security best practices.
• Ability to work effectively in a distributed team environment using asynchronous communication.

Skills & tools

• BigQuery
• Terraform
• Dataform
• Vertex AI
• CI/CD
• Cloud Storage
• IAM

Practical notes

Dialpad is an equal-opportunity employer. Candidates who do not meet every listed requirement but possess the necessary drive and core traits are encouraged to apply.