Senior Agentic AI Engineer
Core
Lead technical onboarding of users, teams, and data domains onto EchoStar's enterprise Databricks platform on AWS, focusing on external data integration, Unity Catalog governance, and deployment of Databricks-native AI capabilities.
Role type
Senior individual contributor platform/data engineer (AI/ML focus)
Builds
Enterprise data pipelines, Unity Catalog governance structures, and Databricks-native AI capabilities (Genie, Mosaic AI)
Domain
Cloud data engineering & AI/ML platforms
Deliverable
production ML models | product features
Required skills
Databricks administration at production scale, Unity Catalog architecture, Python, SQL, PySpark, AWS services (IAM, S3, VPC), Terraform, LLM-driven workflows, retrieval-augmented generation, vector search, agent framework infrastructure, platform cost attribution
Preferred skills
Experience with Delta Lake table design, job orchestration, usage-based resource management
Technologies
Databricks, Unity Catalog, Delta Lake, Python, PySpark, AWS, Terraform, Genie, Mosaic AI
Responsibilities
Architect and build integrations connecting enterprise data sources to the platform; Deploy and operationalize Databricks-native AI capabilities; Own Unity Catalog architecture across onboarding workloads; Design and maintain cost attribution and chargeback practices; Set technical direction for onboarding and integration workstreams; Mentor engineers and review designs
Seniority
Senior, hands-on IC with technical leadership expectations