Manager, Data Operations & Management will join the engineering team to lead the design, automation, and governance of enterprise-scale AI/ML platforms on Google Cloud Platform. The role involves building secure, scalable, and self-service capabilities for model development, training, and deployment while establishing architecture standards and infrastructure as code solutions. You will manage platform reliability through proactive monitoring, incident management, and high-availability strategies. Key responsibilities include implementing CI/CD frameworks, managing security controls, and ensuring compliance with data governance policies. The technical stack includes Vertex AI, Terraform, Python, SQL, GitHub Actions, Jenkins, Cloud Build, SonarQube, BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Run, Cloud Functions, Pub/Sub, and Dataplex. This position focuses on the core challenge of creating a robust infrastructure to accelerate the development and deployment of AI solutions across various business units.
Snowflake
BigQuery
dbt
Airflow
Data Warehousing
ETL
ELT
Data Lakehouse
Parquet
Iceberg
Data Dog
Anomalo
Data Architecture
Advanced Analytics
Data Science
Data Quality