AI Engineer-Data Databricks Pltform
Core
Design, build, configure, integrate, and operationalize enterprise Data & AI solutions on the Databricks platform, enabling data engineers, data scientists, and business teams to accelerate innovation.
Role type
Senior Databricks Platform Engineer (DataOps/MLOps)
Builds
Scalable, secure, and reliable data and AI capabilities on the Databricks Lakehouse architecture
Domain
Data Engineering, MLOps, Generative AI, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Databricks Lakehouse Platform, Delta Lake, Unity Catalog, PySpark, Spark SQL, Terraform, CI/CD, Python, SQL, Cloud Platforms (Azure/AWS/GCP)
Preferred skills
Generative AI, Agentic AI, LLM integration, Snowflake, Kubernetes, Docker, Kafka
Technologies
Databricks, Unity Catalog, MLflow, Delta Lake, Terraform, GitHub Actions, Azure DevOps, Kafka, Snowflake, Kubernetes, Docker
Responsibilities
Design and maintain Databricks workspaces across environments; Implement platform standards, reusable frameworks, and best practices; Automate platform deployment using Infrastructure as Code; Build scalable data pipelines using Lakehouse architecture; Enable ML and Generative AI workloads with model lifecycle management; Establish CI/CD pipelines for data and AI workloads; Implement enterprise security controls, RBAC, and governance policies; Monitor platform performance, reliability, and cost optimization.
Seniority
Senior, hands-on IC with technical leadership